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pub mod params;
pub use params::*;
use crate::{
DependentJoint, Distribution, IndependentJoint, RandomVariable, SampleableDistribution,
};
use crate::{DiscreteDistribution, DistributionError};
use num_integer::binomial;
use rand::prelude::*;
use rand_distr::Binomial as RandBinominal;
use std::{ops::BitAnd, ops::Mul};
#[derive(Clone, Debug)]
pub struct Binomial;
#[derive(thiserror::Error, Debug)]
pub enum BinominalError {
#[error("'p' must be probability.")]
PMustBeProbability,
#[error("Unknown error")]
Unknown,
}
impl Distribution for Binomial {
type Value = u64;
type Condition = BinomialParams;
fn p_kernel(&self, x: &Self::Value, theta: &Self::Condition) -> Result<f64, DistributionError> {
let n = theta.n();
let p = theta.p();
Ok(binomial(n, *x) as f64 * p.powi(*x as i32) * (1.0 - p).powi((n - x) as i32))
}
}
impl DiscreteDistribution for Binomial {}
impl<Rhs, TRhs> Mul<Rhs> for Binomial
where
Rhs: Distribution<Value = TRhs, Condition = BinomialParams>,
TRhs: RandomVariable,
{
type Output = IndependentJoint<Self, Rhs, u64, TRhs, BinomialParams>;
fn mul(self, rhs: Rhs) -> Self::Output {
IndependentJoint::new(self, rhs)
}
}
impl<Rhs, URhs> BitAnd<Rhs> for Binomial
where
Rhs: Distribution<Value = BinomialParams, Condition = URhs>,
URhs: RandomVariable,
{
type Output = DependentJoint<Self, Rhs, u64, BinomialParams, URhs>;
fn bitand(self, rhs: Rhs) -> Self::Output {
DependentJoint::new(self, rhs)
}
}
impl SampleableDistribution for Binomial {
fn sample(
&self,
theta: &Self::Condition,
rng: &mut dyn RngCore,
) -> Result<Self::Value, DistributionError> {
let n = theta.n();
let p = theta.p();
let binominal = match RandBinominal::new(n, p) {
Ok(v) => Ok(v),
Err(e) => Err(DistributionError::Others(e.into())),
}?;
Ok(rng.sample(binominal))
}
}
#[cfg(test)]
mod tests {
#[test]
fn it_works() {
assert_eq!(2 + 2, 4);
}
}