Merge pull request #35 from phaazon/fix/bézier

Fix Bézier interpolation.
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Dimitri Sabadie 2019-10-22 21:09:15 +02:00 committed by GitHub
commit 0c23df7bf0
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10 changed files with 65 additions and 52 deletions

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@ -1,3 +1,16 @@
# 3.0.0
> Sun Oct 20th 2019
## Major changes
- Sampling now requires the value of the key to be `Linear<T>` for `Interpolate<T>`. That is needed
to ease some interpolation mode (especially Bézier).
## Patch changes
- Fix Bézier interpolation when the next key is Bézier too.
# 2.2.0
> Mon Oct 17th 2019

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@ -1,6 +1,6 @@
[package]
name = "splines"
version = "2.2.0"
version = "3.0.0"
license = "BSD-3-Clause"
authors = ["Dimitri Sabadie <dimitri.sabadie@gmail.com>"]
description = "Spline interpolation made easy"
@ -34,5 +34,16 @@ num-traits = { version = "0.2", optional = true }
serde = { version = "1", optional = true }
serde_derive = { version = "1", optional = true }
[dev-dependencies]
float-cmp = "0.5"
serde_json = "1"
[package.metadata.docs.rs]
all-features = true
[[example]]
name = "hello-world"
[[example]]
name = "serialization"
required-features = ["serialization"]

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@ -1,7 +0,0 @@
[package]
name = "hello-world"
version = "0.2.0"
authors = ["Dimitri Sabadie <dimitri.sabadie@gmail.com>"]
[dependencies]
splines = "1.0.0-rc.2"

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@ -1,8 +0,0 @@
[package]
name = "serialization"
version = "0.2.0"
authors = ["Dimitri Sabadie <dimitri.sabadie@gmail.com>"]
[dependencies]
serde_json = "1"
splines = { version = "1.0.0-rc.2", features = ["serialization"] }

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@ -1,9 +0,0 @@
[workspace]
members = [
"01-hello-world",
"02-serialization"
]
[patch.crates-io]
splines = { path = ".." }

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@ -45,7 +45,7 @@
/// instance to know which trait your type must implement to be usable.
///
/// [`Spline::sample`]: crate::spline::Spline::sample
pub trait Interpolate<T>: Sized + Copy {
pub trait Interpolate<T>: Sized + Copy + Linear<T> {
/// Linear interpolation.
fn lerp(a: Self, b: Self, t: T) -> Self;
@ -240,10 +240,7 @@ where V: Linear<T>,
let one_t_3 = one_t_2 * one_t;
let three = T::one() + T::one() + T::one();
// mirror the “output” tangent based on the next key “input” tangent
let v_ = b + b - v;
a.outer_mul(one_t_3) + u.outer_mul(three * one_t_2 * t) + v_.outer_mul(three * one_t * t * t) + b.outer_mul(t * t * t)
a.outer_mul(one_t_3) + u.outer_mul(three * one_t_2 * t) + v.outer_mul(three * one_t * t * t) + b.outer_mul(t * t * t)
}
macro_rules! impl_interpolate_simple {

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@ -7,7 +7,7 @@
#[cfg(not(feature = "std"))] use core::ops::{Div, Mul};
#[cfg(not(feature = "std"))] use core::cmp::Ordering;
use crate::interpolate::{Interpolate, Additive, One, Trigo};
use crate::interpolate::{Additive, Interpolate, One, Trigo};
use crate::interpolation::Interpolation;
use crate::key::Key;
@ -86,7 +86,7 @@ impl<T, V> Spline<T, V> {
/// the sampling.
pub fn sample_with_key(&self, t: T) -> Option<(V, &Key<T, V>, Option<&Key<T, V>>)>
where T: Additive + One + Trigo + Mul<T, Output = T> + Div<T, Output = T> + PartialOrd,
V: Interpolate<T> {
V: Additive + Interpolate<T> {
let keys = &self.0;
let i = search_lower_cp(keys, t)?;
let cp0 = &keys[i];
@ -134,25 +134,23 @@ impl<T, V> Spline<T, V> {
}
}
Interpolation::Bezier(u) => {
Interpolation::Bezier(u) | Interpolation::StrokeBezier(_, u) => {
// We need to check the next control point to see whether we want quadratic or cubic Bezier.
let cp1 = &keys[i + 1];
let nt = normalize_time(t, cp0, cp1);
let value =
if let Interpolation::Bezier(v) = cp1.interpolation {
Interpolate::cubic_bezier(cp0.value, u, v, cp1.value, nt)
} else {
Interpolate::quadratic_bezier(cp0.value, u, cp1.value, nt)
};
Some((value, cp0, Some(cp1)))
match cp1.interpolation {
Interpolation::Bezier(v) => {
Interpolate::cubic_bezier(cp0.value, u, cp1.value + cp1.value - v, cp1.value, nt)
}
Interpolation::StrokeBezier(input, output) => {
let cp1 = &keys[i + 1];
let nt = normalize_time(t, cp0, cp1);
let value = Interpolate::cubic_bezier(cp0.value, input, output, cp1.value, nt);
Interpolation::StrokeBezier(v, _) => {
Interpolate::cubic_bezier(cp0.value, u, v, cp1.value, nt)
}
_ => Interpolate::quadratic_bezier(cp0.value, u, cp1.value, nt)
};
Some((value, cp0, Some(cp1)))
}
@ -165,7 +163,7 @@ impl<T, V> Spline<T, V> {
///
pub fn sample(&self, t: T) -> Option<V>
where T: Additive + One + Trigo + Mul<T, Output = T> + Div<T, Output = T> + PartialOrd,
V: Interpolate<T> {
V: Additive + Interpolate<T> {
self.sample_with_key(t).map(|(v, _, _)| v)
}
@ -182,7 +180,7 @@ impl<T, V> Spline<T, V> {
/// This function returns [`None`] if you have no key.
pub fn clamped_sample_with_key(&self, t: T) -> Option<(V, &Key<T, V>, Option<&Key<T, V>>)>
where T: Additive + One + Trigo + Mul<T, Output = T> + Div<T, Output = T> + PartialOrd,
V: Interpolate<T> {
V: Additive + Interpolate<T> {
if self.0.is_empty() {
return None;
}
@ -207,7 +205,7 @@ impl<T, V> Spline<T, V> {
/// Sample a spline at a given time with clamping.
pub fn clamped_sample(&self, t: T) -> Option<V>
where T: Additive + One + Trigo + Mul<T, Output = T> + Div<T, Output = T> + PartialOrd,
V: Interpolate<T> {
V: Additive + Interpolate<T> {
self.clamped_sample_with_key(t).map(|(v, _, _)| v)
}

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@ -1,7 +1,8 @@
use float_cmp::approx_eq;
use splines::{Interpolation, Key, Spline};
#[cfg(feature = "impl-cgmath")] use cgmath as cg;
#[cfg(feature = "impl-nalgebra")] use nalgebra as na;
#[cfg(feature = "cgmath")] use cgmath as cg;
#[cfg(feature = "nalgebra")] use nalgebra as na;
#[test]
fn step_interpolation_f32() {
@ -149,7 +150,24 @@ fn several_interpolations_several_keys() {
assert_eq!(spline.clamped_sample(11.), Some(4.));
}
#[cfg(feature = "impl-cgmath")]
#[cfg(feature = "cgmath")]
#[test]
fn stroke_bezier_straight() {
let keys = vec![
Key::new(0.0, cg::Vector2::new(0., 1.), Interpolation::StrokeBezier(cg::Vector2::new(0., 1.), cg::Vector2::new(0., 1.))),
Key::new(5.0, cg::Vector2::new(5., 1.), Interpolation::StrokeBezier(cg::Vector2::new(5., 1.), cg::Vector2::new(5., 1.)))
];
let spline = Spline::from_vec(keys);
assert!(approx_eq!(f32, spline.clamped_sample(0.0).unwrap().y, 1.));
assert!(approx_eq!(f32, spline.clamped_sample(1.0).unwrap().y, 1.));
assert!(approx_eq!(f32, spline.clamped_sample(2.0).unwrap().y, 1.));
assert!(approx_eq!(f32, spline.clamped_sample(3.0).unwrap().y, 1.));
assert!(approx_eq!(f32, spline.clamped_sample(4.0).unwrap().y, 1.));
assert!(approx_eq!(f32, spline.clamped_sample(5.0).unwrap().y, 1.));
}
#[cfg(feature = "cgmath")]
#[test]
fn cgmath_vector_interpolation() {
use splines::Interpolate;
@ -163,7 +181,7 @@ fn cgmath_vector_interpolation() {
assert_eq!(Interpolate::lerp(start, end, 0.5), mid);
}
#[cfg(feature = "impl-nalgebra")]
#[cfg(feature = "nalgebra")]
#[test]
fn nalgebra_vector_interpolation() {
use splines::Interpolate;