rand_distr: derive serde support (easy cases)

rand_distr/src/binomial.rs

@@ -29,6 +29,7 @@ use core::cmp::Ordering;
 /// println!("{} is from a binomial distribution", v);
 /// ```
 #[derive(Clone, Copy, Debug)]
+#[cfg_attr(feature = "serde1", derive(serde::Serialize, serde::Deserialize))]
 pub struct Binomial {
     /// Number of trials.
     n: u64,

rand_distr/src/cauchy.rs

@@ -32,6 +32,7 @@ use core::fmt;
 /// println!("{} is from a Cauchy(2, 5) distribution", v);
 /// ```
 #[derive(Clone, Copy, Debug)]
+#[cfg_attr(feature = "serde1", derive(serde::Serialize, serde::Deserialize))]
 pub struct Cauchy<F>
 where F: Float + FloatConst, Standard: Distribution<F>
 {

rand_distr/src/dirichlet.rs

@@ -33,6 +33,7 @@ use alloc::{boxed::Box, vec, vec::Vec};
 /// ```
 #[cfg_attr(doc_cfg, doc(cfg(feature = "alloc")))]
 #[derive(Clone, Debug)]
+#[cfg_attr(feature = "serde1", derive(serde::Serialize, serde::Deserialize))]
 pub struct Dirichlet<F>
 where
     F: Float,

rand_distr/src/exponential.rs

@@ -39,6 +39,7 @@ use core::fmt;
 /// println!("{}", val);
 /// ```
 #[derive(Clone, Copy, Debug)]
+#[cfg_attr(feature = "serde1", derive(serde::Serialize, serde::Deserialize))]
 pub struct Exp1;
 
 impl Distribution<f32> for Exp1 {
@@ -91,6 +92,7 @@ impl Distribution<f64> for Exp1 {
 /// println!("{} is from a Exp(2) distribution", v);
 /// ```
 #[derive(Clone, Copy, Debug)]
+#[cfg_attr(feature = "serde1", derive(serde::Serialize, serde::Deserialize))]
 pub struct Exp<F>
 where F: Float, Exp1: Distribution<F>
 {

rand_distr/src/gamma.rs

@@ -21,6 +21,8 @@ use num_traits::Float;
 use crate::{Distribution, Exp, Exp1, Open01};
 use rand::Rng;
 use core::fmt;
+#[cfg(feature = "serde1")]
+use serde::{Serialize, Deserialize};
 
 /// The Gamma distribution `Gamma(shape, scale)` distribution.
 ///
@@ -53,6 +55,7 @@ use core::fmt;
 ///       (September 2000), 363-372.
 ///       DOI:[10.1145/358407.358414](https://doi.acm.org/10.1145/358407.358414)
 #[derive(Clone, Copy, Debug)]
+#[cfg_attr(feature = "serde1", derive(Serialize, Deserialize))]
 pub struct Gamma<F>
 where
     F: Float,
@@ -89,6 +92,7 @@ impl fmt::Display for Error {
 impl std::error::Error for Error {}
 
 #[derive(Clone, Copy, Debug)]
+#[cfg_attr(feature = "serde1", derive(Serialize, Deserialize))]
 enum GammaRepr<F>
 where
     F: Float,
@@ -116,6 +120,7 @@ where
 /// See `Gamma` for sampling from a Gamma distribution with general
 /// shape parameters.
 #[derive(Clone, Copy, Debug)]
+#[cfg_attr(feature = "serde1", derive(Serialize, Deserialize))]
 struct GammaSmallShape<F>
 where
     F: Float,
@@ -131,6 +136,7 @@ where
 /// See `Gamma` for sampling from a Gamma distribution with general
 /// shape parameters.
 #[derive(Clone, Copy, Debug)]
+#[cfg_attr(feature = "serde1", derive(Serialize, Deserialize))]
 struct GammaLargeShape<F>
 where
     F: Float,
@@ -275,6 +281,7 @@ where
 /// println!("{} is from a χ²(11) distribution", v)
 /// ```
 #[derive(Clone, Copy, Debug)]
+#[cfg_attr(feature = "serde1", derive(Serialize, Deserialize))]
 pub struct ChiSquared<F>
 where
     F: Float,
@@ -287,6 +294,7 @@ where
 
 /// Error type returned from `ChiSquared::new` and `StudentT::new`.
 #[derive(Clone, Copy, Debug, PartialEq, Eq)]
+#[cfg_attr(feature = "serde1", derive(Serialize, Deserialize))]
 pub enum ChiSquaredError {
     /// `0.5 * k <= 0` or `nan`.
     DoFTooSmall,
@@ -307,6 +315,7 @@ impl fmt::Display for ChiSquaredError {
 impl std::error::Error for ChiSquaredError {}
 
 #[derive(Clone, Copy, Debug)]
+#[cfg_attr(feature = "serde1", derive(Serialize, Deserialize))]
 enum ChiSquaredRepr<F>
 where
     F: Float,
@@ -377,6 +386,7 @@ where
 /// println!("{} is from an F(2, 32) distribution", v)
 /// ```
 #[derive(Clone, Copy, Debug)]
+#[cfg_attr(feature = "serde1", derive(Serialize, Deserialize))]
 pub struct FisherF<F>
 where
     F: Float,
@@ -393,6 +403,7 @@ where
 
 /// Error type returned from `FisherF::new`.
 #[derive(Clone, Copy, Debug, PartialEq, Eq)]
+#[cfg_attr(feature = "serde1", derive(Serialize, Deserialize))]
 pub enum FisherFError {
     /// `m <= 0` or `nan`.
     MTooSmall,
@@ -462,6 +473,7 @@ where
 /// println!("{} is from a t(11) distribution", v)
 /// ```
 #[derive(Clone, Copy, Debug)]
+#[cfg_attr(feature = "serde1", derive(Serialize, Deserialize))]
 pub struct StudentT<F>
 where
     F: Float,
@@ -511,6 +523,7 @@ where
 /// Communications of the ACM 21, 317-322.
 /// https://doi.org/10.1145/359460.359482
 #[derive(Clone, Copy, Debug)]
+#[cfg_attr(feature = "serde1", derive(Serialize, Deserialize))]
 enum BetaAlgorithm<N> {
     BB(BB<N>),
     BC(BC<N>),
@@ -518,6 +531,7 @@ enum BetaAlgorithm<N> {
 
 /// Algorithm BB for `min(alpha, beta) > 1`.
 #[derive(Clone, Copy, Debug)]
+#[cfg_attr(feature = "serde1", derive(Serialize, Deserialize))]
 struct BB<N> {
     alpha: N,
     beta: N,
@@ -526,6 +540,7 @@ struct BB<N> {
 
 /// Algorithm BC for `min(alpha, beta) <= 1`.
 #[derive(Clone, Copy, Debug)]
+#[cfg_attr(feature = "serde1", derive(Serialize, Deserialize))]
 struct BC<N> {
     alpha: N,
     beta: N,
@@ -546,6 +561,7 @@ struct BC<N> {
 /// println!("{} is from a Beta(2, 5) distribution", v);
 /// ```
 #[derive(Clone, Copy, Debug)]
+#[cfg_attr(feature = "serde1", derive(Serialize, Deserialize))]
 pub struct Beta<F>
 where
     F: Float,
@@ -557,6 +573,7 @@ where
 
 /// Error type returned from `Beta::new`.
 #[derive(Clone, Copy, Debug, PartialEq, Eq)]
+#[cfg_attr(feature = "serde1", derive(Serialize, Deserialize))]
 pub enum BetaError {
     /// `alpha <= 0` or `nan`.
     AlphaTooSmall,

rand_distr/src/geometric.rs

@@ -26,6 +26,7 @@ use core::fmt;
 /// println!("{} is from a Geometric(0.25) distribution", v);
 /// ```
 #[derive(Copy, Clone, Debug)]
+#[cfg_attr(feature = "serde1", derive(serde::Serialize, serde::Deserialize))]
 pub struct Geometric
 {
     p: f64,
@@ -151,6 +152,7 @@ impl Distribution<u64> for Geometric
 /// println!("{} is from a Geometric(0.5) distribution", v);
 /// ```
 #[derive(Copy, Clone, Debug)]
+#[cfg_attr(feature = "serde1", derive(serde::Serialize, serde::Deserialize))]
 pub struct StandardGeometric;
 
 impl Distribution<u64> for StandardGeometric {
@@ -231,4 +233,4 @@ mod test {
             results.iter().map(|x| (x - mean) * (x - mean)).sum::<f64>() / results.len() as f64;
         assert!((variance - expected_variance).abs() < expected_variance / 10.0);
     }
-}
+}

rand_distr/src/hypergeometric.rs

@@ -6,6 +6,7 @@ use rand::distributions::uniform::Uniform;
 use core::fmt;
 
 #[derive(Clone, Copy, Debug)]
+#[cfg_attr(feature = "serde1", derive(serde::Serialize, serde::Deserialize))]
 enum SamplingMethod {
     InverseTransform{ initial_p: f64, initial_x: i64 },
     RejectionAcceptance{
@@ -43,6 +44,7 @@ enum SamplingMethod {
 /// println!("{} is from a hypergeometric distribution", v);
 /// ```
 #[derive(Copy, Clone, Debug)]
+#[cfg_attr(feature = "serde1", derive(serde::Serialize, serde::Deserialize))]
 pub struct Hypergeometric {
     n1: u64,
     n2: u64,

rand_distr/src/inverse_gaussian.rs

@@ -27,6 +27,7 @@ impl std::error::Error for Error {}
 
 /// The [inverse Gaussian distribution](https://en.wikipedia.org/wiki/Inverse_Gaussian_distribution)
 #[derive(Debug, Clone, Copy)]
+#[cfg_attr(feature = "serde1", derive(serde::Serialize, serde::Deserialize))]
 pub struct InverseGaussian<F>
 where
     F: Float,

rand_distr/src/normal.rs

@@ -37,6 +37,7 @@ use core::fmt;
 /// println!("{}", val);
 /// ```
 #[derive(Clone, Copy, Debug)]
+#[cfg_attr(feature = "serde1", derive(serde::Serialize, serde::Deserialize))]
 pub struct StandardNormal;
 
 impl Distribution<f32> for StandardNormal {
@@ -112,6 +113,7 @@ impl Distribution<f64> for StandardNormal {
 ///
 /// [`StandardNormal`]: crate::StandardNormal
 #[derive(Clone, Copy, Debug)]
+#[cfg_attr(feature = "serde1", derive(serde::Serialize, serde::Deserialize))]
 pub struct Normal<F>
 where F: Float, StandardNormal: Distribution<F>
 {
@@ -226,6 +228,7 @@ where F: Float, StandardNormal: Distribution<F>
 /// println!("{} is from an ln N(2, 9) distribution", v)
 /// ```
 #[derive(Clone, Copy, Debug)]
+#[cfg_attr(feature = "serde1", derive(serde::Serialize, serde::Deserialize))]
 pub struct LogNormal<F>
 where F: Float, StandardNormal: Distribution<F>
 {

rand_distr/src/normal_inverse_gaussian.rs

@@ -27,6 +27,7 @@ impl std::error::Error for Error {}
 
 /// The [normal-inverse Gaussian distribution](https://en.wikipedia.org/wiki/Normal-inverse_Gaussian_distribution)
 #[derive(Debug, Clone, Copy)]
+#[cfg_attr(feature = "serde1", derive(serde::Serialize, serde::Deserialize))]
 pub struct NormalInverseGaussian<F>
 where
     F: Float,

rand_distr/src/pareto.rs

@@ -24,6 +24,7 @@ use core::fmt;
 /// println!("{}", val);
 /// ```
 #[derive(Clone, Copy, Debug)]
+#[cfg_attr(feature = "serde1", derive(serde::Serialize, serde::Deserialize))]
 pub struct Pareto<F>
 where F: Float, OpenClosed01: Distribution<F>
 {

rand_distr/src/pert.rs

@@ -31,6 +31,7 @@ use core::fmt;
 ///
 /// [`Triangular`]: crate::Triangular
 #[derive(Clone, Copy, Debug)]
+#[cfg_attr(feature = "serde1", derive(serde::Serialize, serde::Deserialize))]
 pub struct Pert<F>
 where
     F: Float,

rand_distr/src/poisson.rs

@@ -29,6 +29,7 @@ use core::fmt;
 /// println!("{} is from a Poisson(2) distribution", v);
 /// ```
 #[derive(Clone, Copy, Debug)]
+#[cfg_attr(feature = "serde1", derive(serde::Serialize, serde::Deserialize))]
 pub struct Poisson<F>
 where F: Float + FloatConst, Standard: Distribution<F>
 {

rand_distr/src/triangular.rs

@@ -32,6 +32,7 @@ use core::fmt;
 ///
 /// [`Pert`]: crate::Pert
 #[derive(Clone, Copy, Debug)]
+#[cfg_attr(feature = "serde1", derive(serde::Serialize, serde::Deserialize))]
 pub struct Triangular<F>
 where F: Float, Standard: Distribution<F>
 {

rand_distr/src/unit_ball.rs

@@ -25,6 +25,7 @@ use rand::Rng;
 /// println!("{:?} is from the unit ball.", v)
 /// ```
 #[derive(Clone, Copy, Debug)]
+#[cfg_attr(feature = "serde1", derive(serde::Serialize, serde::Deserialize))]
 pub struct UnitBall;
 
 impl<F: Float + SampleUniform> Distribution<[F; 3]> for UnitBall {

rand_distr/src/unit_circle.rs

@@ -29,6 +29,7 @@ use rand::Rng;
 ///       NBS Appl. Math. Ser., No. 12. Washington, DC: U.S. Government Printing
 ///       Office, pp. 36-38.
 #[derive(Clone, Copy, Debug)]
+#[cfg_attr(feature = "serde1", derive(serde::Serialize, serde::Deserialize))]
 pub struct UnitCircle;
 
 impl<F: Float + SampleUniform> Distribution<[F; 2]> for UnitCircle {

rand_distr/src/unit_disc.rs

@@ -24,6 +24,7 @@ use rand::Rng;
 /// println!("{:?} is from the unit Disc.", v)
 /// ```
 #[derive(Clone, Copy, Debug)]
+#[cfg_attr(feature = "serde1", derive(serde::Serialize, serde::Deserialize))]
 pub struct UnitDisc;
 
 impl<F: Float + SampleUniform> Distribution<[F; 2]> for UnitDisc {

rand_distr/src/unit_sphere.rs

@@ -28,6 +28,7 @@ use rand::Rng;
 ///       Sphere.*](https://doi.org/10.1214/aoms/1177692644)
 ///       Ann. Math. Statist. 43, no. 2, 645--646.
 #[derive(Clone, Copy, Debug)]
+#[cfg_attr(feature = "serde1", derive(serde::Serialize, serde::Deserialize))]
 pub struct UnitSphere;
 
 impl<F: Float + SampleUniform> Distribution<[F; 3]> for UnitSphere {

rand_distr/src/weibull.rs

@@ -24,6 +24,7 @@ use core::fmt;
 /// println!("{}", val);
 /// ```
 #[derive(Clone, Copy, Debug)]
+#[cfg_attr(feature = "serde1", derive(serde::Serialize, serde::Deserialize))]
 pub struct Weibull<F>
 where F: Float, OpenClosed01: Distribution<F>
 {