Struct rustic_zen::sampler::SamplerPoint

pub struct SamplerPoint<R: Rng> { /* private fields */ }

Wrapper around two Samplers to make a Stochasically sampled point.

Trait Implementations

impl<R: Clone + Rng> Clone for SamplerPoint<R>

fn clone(&self) -> SamplerPoint<R>

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl<A, B, R> From<(A, B)> for SamplerPoint<R>

where A: Into<Sampler<f64, R>>, B: Into<Sampler<f64, R>>, R: Rng,

fn from(value: (A, B)) -> Self

Converts to this type from the input type.

impl<R> From<Point> for SamplerPoint<R>

where R: Rng,

A tuple of type (Sampler::<T>,Sampler<T>) will be interpreted as a uniform distribution if turned into a sampler.

Example:

extern crate rand;

use rustic_zen::sampler::SamplerPoint;
use rustic_zen::sampler::Sampler;
use rand::prelude::*;
let mut r = rand::thread_rng();

// results in a rounds soft distribution, useful for area lights.
let _p: SamplerPoint<ThreadRng> = (Sampler::new_gaussian(0.0, 3.0), Sampler::new_gaussian(0.0, 3.0)).into();

This is the only way to construct a SamplerPoint. This shorthand can be extended using the Sampler’s into traits:

extern crate rand;

use rustic_zen::sampler::SamplerPoint;
use rustic_zen::geom::Point;
use rand::prelude::*;
let mut r = rand::thread_rng();

// results in a fixed point at 0.0, 0.0
let _p: SamplerPoint<ThreadRng> = (0.0, 0.0).into();

// results in a uniformly distributed square from 0.0, 0.0 to 10.0, 10.0
let _p: SamplerPoint<ThreadRng> = ((0.0, 10.0), (0.0, 10.0)).into();

fn from(value: Point) -> Self

Converts to this type from the input type.