Enum nannou::noise::RangeFunction

pub enum RangeFunction {
    Euclidean,
    EuclideanSquared,
    Manhattan,
    Chebyshev,
    Quadratic,
}

Set of distance functions that can be used in the Worley noise function.

Variants

Euclidean

The standard linear distance. Expensive to compute because it requires square root calculations.

EuclideanSquared

Same as Euclidean, but without the square root calculations. Distance results will be smaller, however, but hash patterns will be the same.

Manhattan

Measured by only moving in straight lines along the axes. Diagonal movement is not allowed, which leads to increased distances.

Chebyshev

Measured by taking the largest distance along any axis as the total distance. Since this eliminates all but one dimension, it results in significantly shorter distances and produces regions where the distances are uniform.

Quadratic

Experimental function where all values are multiplied together and then added up like a quadratic equation.

Trait Implementations

impl Clone for RangeFunction

pub fn clone(&self) -> RangeFunction

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for RangeFunction

pub fn fmt(&self, f: &mut Formatter<'_>) -> Result<(), Error>

Formats the value using the given formatter.

impl Copy for RangeFunction