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Add reversed ranges

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This commit is contained in:
Robbert van der Helm 2022-07-19 20:18:45 +02:00
parent 0168af7008
commit f007945335
4 changed files with 145 additions and 51 deletions
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6
BREAKING_CHANGES.md
View file

@ -6,6 +6,12 @@ new and what's changed, this document lists all breaking changes in reverse
chronological order. If a new feature did not require any changes to existing
code then it will not be listed here.
## [2022-07-18]
- `IntRange` and `FloatRange` no longer have min/max methods and instead have
next/previous step methods. This is for better compatibility with the new
reversed ranges.
## [2022-07-06]
- The block smoothing API has been reworked. Instead of `Smoother`s having their

19
src/param/float.rs
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@ -139,26 +139,11 @@ impl Param for FloatParam {
}
fn previous_step(&self, from: Self::Plain) -> Self::Plain {
// This one's slightly more involved. We'll split the normalized range up into 100 segments,
// but if `self.step_size` is set then we'll use that. Ideally we might want to split the
// range up into at most 100 segments, falling back to the step size if the total number of
// steps would be smaller than that, but since ranges can be nonlienar that's a bit
// difficult to pull off.
// TODO: At some point, implement the above mentioned step size quantization
match self.step_size {
Some(step_size) => from - step_size,
None => self.preview_plain(self.preview_normalized(from) - 0.01),
}
.clamp(self.range.min(), self.range.max())
self.range.previous_step(from, self.step_size)
}
fn next_step(&self, from: Self::Plain) -> Self::Plain {
// See above
match self.step_size {
Some(step_size) => from + step_size,
None => self.preview_plain(self.preview_normalized(from) + 0.01),
}
.clamp(self.range.min(), self.range.max())
self.range.next_step(from, self.step_size)
}
fn normalized_value_to_string(&self, normalized: f32, include_unit: bool) -> String {

4
src/param/integer.rs
View file

@ -131,11 +131,11 @@ impl Param for IntParam {
}
fn previous_step(&self, from: Self::Plain) -> Self::Plain {
(from - 1).clamp(self.range.min(), self.range.max())
self.range.previous_step(from)
}
fn next_step(&self, from: Self::Plain) -> Self::Plain {
(from + 1).clamp(self.range.min(), self.range.max())
self.range.next_step(from)
}
fn normalized_value_to_string(&self, normalized: f32, include_unit: bool) -> String {

165
src/param/range.rs
View file

@ -20,15 +20,19 @@ pub enum FloatRange {
factor: f32,
center: f32,
},
/// A reversed range that goes from high to low instead of from low to high.
Reversed(&'static FloatRange),
}
/// A distribution for an integer parameter's range. All range endpoints are inclusive. Only linear
/// ranges are supported for integers since hosts expect discrete parameters to have a fixed step
/// size.
#[derive(Debug)]
#[derive(Debug, Clone, Copy)]
pub enum IntRange {
/// The values are uniformly distributed between `min` and `max`.
Linear { min: i32, max: i32 },
/// A reversed range that goes from high to low instead of from low to high.
Reversed(&'static IntRange),
}
impl FloatRange {
@ -42,7 +46,7 @@ impl FloatRange {
/// Normalize a plain, unnormalized value. Will be clamped to the bounds of the range if the
/// normalized value exceeds `[0, 1]`.
pub fn normalize(&self, plain: f32) -> f32 {
match &self {
match self {
FloatRange::Linear { min, max } => (plain.clamp(*min, *max) - min) / (max - min),
FloatRange::Skewed { min, max, factor } => {
((plain.clamp(*min, *max) - min) / (max - min)).powf(*factor)
@ -73,6 +77,7 @@ impl FloatRange {
(1.0 - inverted_scaled_proportion.powf(*factor)) * 0.5
}
}
FloatRange::Reversed(range) => 1.0 - range.normalize(plain),
}
}
@ -80,7 +85,7 @@ impl FloatRange {
/// would exceed that range.
pub fn unnormalize(&self, normalized: f32) -> f32 {
let normalized = normalized.clamp(0.0, 1.0);
match &self {
match self {
FloatRange::Linear { min, max } => (normalized * (max - min)) + min,
FloatRange::Skewed { min, max, factor } => {
(normalized.powf(factor.recip()) * (max - min)) + min
@ -104,45 +109,67 @@ impl FloatRange {
(skewed_proportion * (max - min)) + min
}
FloatRange::Reversed(range) => range.unnormalize(1.0 - normalized),
}
}
/// The minimum value in this range.
pub fn min(&self) -> f32 {
/// The range's previous discrete step from a certain value with a certain step size. If the step
/// size is not set, then the normalized range is split into 100 segments instead.
pub fn previous_step(&self, from: f32, step_size: Option<f32>) -> f32 {
// This one's slightly more involved than the integer version. We'll split the normalized
// range up into 100 segments, but if `self.step_size` is set then we'll use that. Ideally
// we might want to split the range up into at most 100 segments, falling back to the step
// size if the total number of steps would be smaller than that, but since ranges can be
// nonlienar that's a bit difficult to pull off.
// TODO: At some point, implement the above mentioned step size quantization
match self {
FloatRange::Linear { min, .. }
| FloatRange::Skewed { min, .. }
| FloatRange::SymmetricalSkewed { min, .. } => *min,
FloatRange::Linear { min, max }
| FloatRange::Skewed { min, max, .. }
| FloatRange::SymmetricalSkewed { min, max, .. } => match step_size {
Some(step_size) => from - step_size,
None => self.unnormalize(self.normalize(from) - 0.01),
}
.clamp(*min, *max),
FloatRange::Reversed(range) => range.next_step(from, step_size),
}
}
/// The maximum value in this range.
pub fn max(&self) -> f32 {
/// The range's next discrete step from a certain value with a certain step size. If the step
/// size is not set, then the normalized range is split into 100 segments instead.
pub fn next_step(&self, from: f32, step_size: Option<f32>) -> f32 {
// See above
match self {
FloatRange::Linear { max, .. }
| FloatRange::Skewed { max, .. }
| FloatRange::SymmetricalSkewed { max, .. } => *max,
FloatRange::Linear { min, max }
| FloatRange::Skewed { min, max, .. }
| FloatRange::SymmetricalSkewed { min, max, .. } => match step_size {
Some(step_size) => from + step_size,
None => self.unnormalize(self.normalize(from) + 0.01),
}
.clamp(*min, *max),
FloatRange::Reversed(range) => range.previous_step(from, step_size),
}
}
/// Snap a vlue to a step size, clamping to the minimum and maximum value of the range.
pub fn snap_to_step(&self, value: f32, step_size: f32) -> f32 {
let (min, max) = match &self {
FloatRange::Linear { min, max } => (min, max),
FloatRange::Skewed { min, max, .. } => (min, max),
FloatRange::SymmetricalSkewed { min, max, .. } => (min, max),
};
match self {
FloatRange::Linear { min, max }
| FloatRange::Skewed { min, max, .. }
| FloatRange::SymmetricalSkewed { min, max, .. } => {
((value / step_size).round() * step_size).clamp(*min, *max)
}
FloatRange::Reversed(range) => range.snap_to_step(value, step_size),
}
}
}
impl IntRange {
/// Normalize a plain, unnormalized value. Will be clamped to the bounds of the range if the
/// normalized value exceeds `[0, 1]`.
pub fn normalize(&self, plain: i32) -> f32 {
match &self {
match self {
IntRange::Linear { min, max } => (plain - min) as f32 / (max - min) as f32,
IntRange::Reversed(range) => 1.0 - range.normalize(plain),
}
.clamp(0.0, 1.0)
}
@ -151,22 +178,25 @@ impl IntRange {
/// would exceed that range.
pub fn unnormalize(&self, normalized: f32) -> i32 {
let normalized = normalized.clamp(0.0, 1.0);
match &self {
match self {
IntRange::Linear { min, max } => (normalized * (max - min) as f32).round() as i32 + min,
IntRange::Reversed(range) => range.unnormalize(1.0 - normalized),
}
}
/// The minimum value in this range.
pub fn min(&self) -> i32 {
/// The range's previous discrete step from a certain value.
pub fn previous_step(&self, from: i32) -> i32 {
match self {
IntRange::Linear { min, .. } => *min,
IntRange::Linear { min, max } => (from - 1).clamp(*min, *max),
IntRange::Reversed(range) => range.next_step(from),
}
}
/// The maximum value in this range.
pub fn max(&self) -> i32 {
/// The range's next discrete step from a certain value.
pub fn next_step(&self, from: i32) -> i32 {
match self {
IntRange::Linear { max, .. } => *max,
IntRange::Linear { min, max } => (from + 1).clamp(*min, *max),
IntRange::Reversed(range) => range.previous_step(from),
}
}
@ -174,6 +204,15 @@ impl IntRange {
pub fn step_count(&self) -> usize {
match self {
IntRange::Linear { min, max } => (max - min) as usize,
IntRange::Reversed(range) => range.step_count(),
}
}
/// If this range is wrapped in an adapter, like `Reversed`, then return the wrapped range.
pub fn inner_range(&self) -> Self {
match self {
IntRange::Linear { .. } => *self,
IntRange::Reversed(range) => range.inner_range(),
}
}
}
@ -182,18 +221,18 @@ impl IntRange {
mod tests {
use super::*;
fn make_linear_float_range() -> FloatRange {
const fn make_linear_float_range() -> FloatRange {
FloatRange::Linear {
min: 10.0,
max: 20.0,
}
}
fn make_linear_int_range() -> IntRange {
const fn make_linear_int_range() -> IntRange {
IntRange::Linear { min: -10, max: 10 }
}
fn make_skewed_float_range(factor: f32) -> FloatRange {
const fn make_skewed_float_range(factor: f32) -> FloatRange {
FloatRange::Skewed {
min: 10.0,
max: 20.0,
@ -201,7 +240,7 @@ mod tests {
}
}
fn make_symmetrical_skewed_float_range(factor: f32) -> FloatRange {
const fn make_symmetrical_skewed_float_range(factor: f32) -> FloatRange {
FloatRange::SymmetricalSkewed {
min: 10.0,
max: 20.0,
@ -307,4 +346,68 @@ mod tests {
assert_eq!(range.unnormalize(0.951801), 17.5);
}
}
mod reversed_linear {
use super::*;
#[test]
fn range_normalize_int() {
const WRAPPED_RANGE: IntRange = make_linear_int_range();
let range = IntRange::Reversed(&WRAPPED_RANGE);
assert_eq!(range.normalize(-5), 1.0 - 0.25);
}
#[test]
fn range_unnormalize_int() {
const WRAPPED_RANGE: IntRange = make_linear_int_range();
let range = IntRange::Reversed(&WRAPPED_RANGE);
assert_eq!(range.unnormalize(1.0 - 0.75), 5);
}
#[test]
fn range_unnormalize_int_rounding() {
const WRAPPED_RANGE: IntRange = make_linear_int_range();
let range = IntRange::Reversed(&WRAPPED_RANGE);
assert_eq!(range.unnormalize(1.0 - 0.73), 5);
}
}
mod reversed_skewed {
use super::*;
#[test]
fn range_normalize_float() {
const WRAPPED_RANGE: FloatRange = make_skewed_float_range(0.25);
let range = FloatRange::Reversed(&WRAPPED_RANGE);
assert_eq!(range.normalize(17.5), 1.0 - 0.9306049);
}
#[test]
fn range_unnormalize_float() {
const WRAPPED_RANGE: FloatRange = make_skewed_float_range(0.25);
let range = FloatRange::Reversed(&WRAPPED_RANGE);
assert_eq!(range.unnormalize(1.0 - 0.9306049), 17.5);
}
#[test]
fn range_normalize_linear_equiv_float() {
const WRAPPED_LINEAR_RANGE: FloatRange = make_linear_float_range();
const WRAPPED_SKEWED_RANGE: FloatRange = make_skewed_float_range(1.0);
let linear_range = FloatRange::Reversed(&WRAPPED_LINEAR_RANGE);
let skewed_range = FloatRange::Reversed(&WRAPPED_SKEWED_RANGE);
assert_eq!(linear_range.normalize(17.5), skewed_range.normalize(17.5));
}
#[test]
fn range_unnormalize_linear_equiv_float() {
const WRAPPED_LINEAR_RANGE: FloatRange = make_linear_float_range();
const WRAPPED_SKEWED_RANGE: FloatRange = make_skewed_float_range(1.0);
let linear_range = FloatRange::Reversed(&WRAPPED_LINEAR_RANGE);
let skewed_range = FloatRange::Reversed(&WRAPPED_SKEWED_RANGE);
assert_eq!(
linear_range.unnormalize(0.25),
skewed_range.unnormalize(0.25)
);
}
}
}