splines/spline.rs
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//! Spline curves and operations.
#[cfg(feature = "serialization")] use serde_derive::{Deserialize, Serialize};
#[cfg(not(feature = "std"))] use alloc::vec::Vec;
#[cfg(feature = "std")] use std::cmp::Ordering;
#[cfg(feature = "std")] use std::ops::{Div, Mul};
#[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::interpolation::Interpolation;
use crate::key::Key;
/// Spline curve used to provide interpolation between control points (keys).
///
/// Splines are made out of control points ([`Key`]). When creating a [`Spline`] with
/// [`Spline::from_vec`] or [`Spline::from_iter`], the keys don’t have to be sorted (they are sorted
/// automatically by the sampling value).
///
/// You can sample from a spline with several functions:
///
/// - [`Spline::sample`]: allows you to sample from a spline. If not enough keys are available
/// for the required interpolation mode, you get `None`.
/// - [`Spline::clamped_sample`]: behaves like [`Spline::sample`] but will return either the first
/// or last key if out of bound; it will return `None` if not enough key.
#[derive(Debug, Clone)]
#[cfg_attr(feature = "serialization", derive(Deserialize, Serialize))]
pub struct Spline<T, V>(pub(crate) Vec<Key<T, V>>);
impl<T, V> Spline<T, V> {
/// Internal sort to ensure invariant of sorting keys is valid.
fn internal_sort(&mut self) where T: PartialOrd {
self.0.sort_by(|k0, k1| k0.t.partial_cmp(&k1.t).unwrap_or(Ordering::Less));
}
/// Create a new spline out of keys. The keys don’t have to be sorted even though it’s recommended
/// to provide ascending sorted ones (for performance purposes).
pub fn from_vec(keys: Vec<Key<T, V>>) -> Self where T: PartialOrd {
let mut spline = Spline(keys);
spline.internal_sort();
spline
}
/// Create a new spline by consuming an `Iterater<Item = Key<T>>`. They keys don’t have to be
/// sorted.
///
/// # Note on iterators
///
/// It’s valid to use any iterator that implements `Iterator<Item = Key<T>>`. However, you should
/// use [`Spline::from_vec`] if you are passing a [`Vec`].
pub fn from_iter<I>(iter: I) -> Self where I: Iterator<Item = Key<T, V>>, T: PartialOrd {
Self::from_vec(iter.collect())
}
/// Retrieve the keys of a spline.
pub fn keys(&self) -> &[Key<T, V>] {
&self.0
}
/// Number of keys.
#[inline(always)]
pub fn len(&self) -> usize {
self.0.len()
}
/// Check whether the spline has no key.
#[inline(always)]
pub fn is_empty(&self) -> bool {
self.0.is_empty()
}
/// Sample a spline at a given time, returning the interpolated value along with its associated
/// key.
///
/// The current implementation, based on immutability, cannot perform in constant time. This means
/// that sampling’s processing complexity is currently *O(log n)*. It’s possible to achieve *O(1)*
/// performance by using a slightly different spline type. If you are interested by this feature,
/// an implementation for a dedicated type is foreseen yet not started yet.
///
/// # Return
///
/// `None` if you try to sample a value at a time that has no key associated with. That can also
/// happen if you try to sample between two keys with a specific interpolation mode that makes the
/// sampling impossible. For instance, [`Interpolation::CatmullRom`] requires *four* keys. If
/// you’re near the beginning of the spline or its end, ensure you have enough keys around to make
/// 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> {
let keys = &self.0;
let i = search_lower_cp(keys, t)?;
let cp0 = &keys[i];
match cp0.interpolation {
Interpolation::Step(threshold) => {
let cp1 = &keys[i + 1];
let nt = normalize_time(t, cp0, cp1);
let value = if nt < threshold { cp0.value } else { cp1.value };
Some((value, cp0, Some(cp1)))
}
Interpolation::Linear => {
let cp1 = &keys[i + 1];
let nt = normalize_time(t, cp0, cp1);
let value = Interpolate::lerp(cp0.value, cp1.value, nt);
Some((value, cp0, Some(cp1)))
}
Interpolation::Cosine => {
let two_t = T::one() + T::one();
let cp1 = &keys[i + 1];
let nt = normalize_time(t, cp0, cp1);
let cos_nt = (T::one() - (nt * T::pi()).cos()) / two_t;
let value = Interpolate::lerp(cp0.value, cp1.value, cos_nt);
Some((value, cp0, Some(cp1)))
}
Interpolation::CatmullRom => {
// We need at least four points for Catmull Rom; ensure we have them, otherwise, return
// None.
if i == 0 || i >= keys.len() - 2 {
None
} else {
let cp1 = &keys[i + 1];
let cpm0 = &keys[i - 1];
let cpm1 = &keys[i + 2];
let nt = normalize_time(t, cp0, cp1);
let value = Interpolate::cubic_hermite((cpm0.value, cpm0.t), (cp0.value, cp0.t), (cp1.value, cp1.t), (cpm1.value, cpm1.t), nt);
Some((value, cp0, Some(cp1)))
}
}
Interpolation::Bezier(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)))
}
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);
Some((value, cp0, Some(cp1)))
}
Interpolation::__NonExhaustive => unreachable!(),
}
}
/// Sample a spline at a given time.
///
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> {
self.sample_with_key(t).map(|(v, _, _)| v)
}
/// Sample a spline at a given time with clamping, returning the interpolated value along with its
/// associated key.
///
/// # Return
///
/// If you sample before the first key or after the last one, return the first key or the last
/// one, respectively. Otherwise, behave the same way as [`Spline::sample`].
///
/// # Error
///
/// 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> {
if self.0.is_empty() {
return None;
}
self.sample_with_key(t).or_else(move || {
let first = self.0.first().unwrap();
if t <= first.t {
let second = if self.0.len() >= 2 { Some(&self.0[1]) } else { None };
Some((first.value, &first, second))
} else {
let last = self.0.last().unwrap();
if t >= last.t {
Some((last.value, &last, None))
} else {
None
}
}
})
}
/// 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> {
self.clamped_sample_with_key(t).map(|(v, _, _)| v)
}
/// Add a key into the spline.
pub fn add(&mut self, key: Key<T, V>) where T: PartialOrd {
self.0.push(key);
self.internal_sort();
}
/// Remove a key from the spline.
pub fn remove(&mut self, index: usize) -> Option<Key<T, V>> {
if index >= self.0.len() {
None
} else {
Some(self.0.remove(index))
}
}
/// Update a key and return the key already present.
///
/// The key is updated — if present — with the provided function.
///
/// # Notes
///
/// That function makes sense only if you want to change the interpolator (i.e. [`Key::t`]) of
/// your key. If you just want to change the interpolation mode or the carried value, consider
/// using the [`Spline::get_mut`] method instead as it will be way faster.
pub fn replace<F>(
&mut self,
index: usize,
f: F
) -> Option<Key<T, V>>
where
F: FnOnce(&Key<T, V>) -> Key<T, V>,
T: PartialOrd
{
let key = self.remove(index)?;
self.add(f(&key));
Some(key)
}
/// Get a key at a given index.
pub fn get(&self, index: usize) -> Option<&Key<T, V>> {
self.0.get(index)
}
/// Mutably get a key at a given index.
pub fn get_mut(&mut self, index: usize) -> Option<KeyMut<T, V>> {
self.0.get_mut(index).map(|key| KeyMut {
value: &mut key.value,
interpolation: &mut key.interpolation
})
}
}
/// A mutable [`Key`].
///
/// Mutable keys allow to edit the carried values and the interpolation mode but not the actual
/// interpolator value as it would invalidate the internal structure of the [`Spline`]. If you
/// want to achieve this, you’re advised to use [`Spline::replace`].
pub struct KeyMut<'a, T, V> {
/// Carried value.
pub value: &'a mut V,
/// Interpolation mode to use for that key.
pub interpolation: &'a mut Interpolation<T, V>,
}
// Normalize a time ([0;1]) given two control points.
#[inline(always)]
pub(crate) fn normalize_time<T, V>(
t: T,
cp: &Key<T, V>,
cp1: &Key<T, V>
) -> T where T: Additive + Div<T, Output = T> + PartialEq {
assert!(cp1.t != cp.t, "overlapping keys");
(t - cp.t) / (cp1.t - cp.t)
}
// Find the lower control point corresponding to a given time.
fn search_lower_cp<T, V>(cps: &[Key<T, V>], t: T) -> Option<usize> where T: PartialOrd {
let mut i = 0;
let len = cps.len();
if len < 2 {
return None;
}
loop {
let cp = &cps[i];
let cp1 = &cps[i+1];
if t >= cp1.t {
if i >= len - 2 {
return None;
}
i += 1;
} else if t < cp.t {
if i == 0 {
return None;
}
i -= 1;
} else {
break; // found
}
}
Some(i)
}