Enum ParameterScale 

pub enum ParameterScale {
    Linear,
    Logarithmic,
    Exponential {
        curve: f32,
    },
    Toggle,
    Integer,
}

How a parameter value is scaled between normalized (0-1) and real values.

Variants

Linear

Linear mapping (default)

real = min + normalized * (max - min)

Logarithmic

Logarithmic scaling (for frequencies, gains)

real = min * (max/min)^normalized

Requires min > 0 and max > min.

Exponential

Exponential curve with configurable shape

curve > 1.0: More resolution at low end curve < 1.0: More resolution at high end curve = 1.0: Linear (equivalent to Linear)

Fields

curve: f32

Curve shape factor (typically 2.0-4.0)

Toggle

On/off toggle (normalized < 0.5 = off, >= 0.5 = on)

Denormalizes to min (off) or max (on).

Integer

Discrete integer steps

Values are quantized to integers between min and max.

Trait Implementations

impl Clone for ParameterScale

fn clone(&self) -> ParameterScale

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for ParameterScale

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

Formats the value using the given formatter.

impl Default for ParameterScale

fn default() -> ParameterScale

Returns the “default value” for a type.

impl PartialEq for ParameterScale

fn eq(&self, other: &ParameterScale) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Copy for ParameterScale

impl StructuralPartialEq for ParameterScale