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```
```//! Random number generation

extern crate rand;
extern crate num_complex;

use std::marker::PhantomData;
use rand::Rng;
use rand::distributions::*;
use num_complex::Complex;

/// Normal distribution for real numbers
#[derive(Clone, Copy)]
pub struct RealNormal<A> {
dist: Normal,
phantom: PhantomData<A>,
}

impl<A> RealNormal<A> {
pub fn new(center: f64, var: f64) -> Self {
RealNormal {
dist: Normal::new(center, var),
phantom: PhantomData,
}
}
}

macro_rules! impl_RealNormal {
(\$float:ty) => {
impl Sample<\$float> for RealNormal<\$float> {
fn sample<R>(&mut self, rng: &mut R) -> \$float
where R: Rng
{
self.dist.sample(rng) as \$float
}
}

impl IndependentSample<\$float> for RealNormal<\$float> {
fn ind_sample<R>(&self, rng: &mut R) -> \$float
where R: Rng
{
self.dist.ind_sample(rng) as \$float
}
}
}} // impl_RealNormal

impl_RealNormal!(f64);
impl_RealNormal!(f32);

/// Normal distribution for complex numbers
#[derive(Clone, Copy)]
pub struct ComplexNormal<A> {
re_dist: Normal,
im_dist: Normal,
phantom: PhantomData<A>,
}

impl<A> ComplexNormal<A> {
pub fn new(re0: f64, im0: f64, re_var: f64, im_var: f64) -> Self {
ComplexNormal {
re_dist: Normal::new(re0, re_var),
im_dist: Normal::new(im0, im_var),
phantom: PhantomData,
}
}
}

macro_rules! impl_ComplexNormal {
(\$float:ty) => {
impl Sample<Complex<\$float>> for ComplexNormal<\$float> {
fn sample<R>(&mut self, rng: &mut R) -> Complex<\$float>
where R: Rng
{
let re = self.re_dist.sample(rng) as \$float;
let im = self.im_dist.sample(rng) as \$float;
Complex::new(re, im)
}
}

impl IndependentSample<Complex<\$float>> for ComplexNormal<\$float> {
fn ind_sample<R>(&self, rng: &mut R) -> Complex<\$float>
where R: Rng
{
let re = self.re_dist.ind_sample(rng) as \$float;
let im = self.im_dist.ind_sample(rng) as \$float;
Complex::new(re, im)
}
}
}} // impl_ComplexNormal

impl_ComplexNormal!(f32);
impl_ComplexNormal!(f64);
```