Run rustfmt.

Update glam requirement from >=0.10, <0.23 to >=0.10, <0.25

.dependabot/config.yml

@@ -1,12 +0,0 @@
-version: 1
-update_configs:
-  - package_manager: "rust:cargo"
-    directory: "."
-    update_schedule: "live"
-    target_branch: "master"
-    default_reviewers:
-      - "phaazon"
-    default_assignees:
-      - "phaazon"
-    default_labels:
-      - "dependency-update"

.github/dependabot.yml

@@ -0,0 +1,25 @@
+version: 2
+updates:
+- package-ecosystem: cargo
+  directory: "/."
+  schedule:
+    interval: daily
+    time: "04:00"
+  open-pull-requests-limit: 10
+  target-branch: master
+  reviewers:
+  - phaazon
+  assignees:
+  - phaazon
+  labels:
+  - dependency-update
+  ignore:
+  - dependency-name: glam
+    versions:
+    - 0.13.0
+  - dependency-name: nalgebra
+    versions:
+    - 0.25.0
+  - dependency-name: cgmath
+    versions:
+    - 0.18.0

.github/workflows/ci.yaml

@@ -6,38 +6,22 @@ jobs:
     runs-on: ubuntu-latest
     steps:
       - uses: actions/checkout@v1
-      - name: Build
-        run: |
-          cargo build --verbose --all-features
       - name: Test
-        run: |
-          cargo test --verbose --all-features
+        run: cargo test --verbose --all-features
 
   build-windows:
     runs-on: windows-latest
     steps:
       - uses: actions/checkout@v1
-      - name: Build
-        run: |
-          cargo build --verbose --all-features
       - name: Test
-        run: |
-          cargo test --verbose --all-features
+        run: cargo test --verbose --all-features
 
   build-macosx:
     runs-on: macOS-latest
     steps:
       - uses: actions/checkout@v1
-      - name: Rust requirements
-        run: curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y --profile=minimal
-      - name: Build
-        run: |
-          . ~/.cargo/env
-          cargo build --verbose --all-features
       - name: Test
-        run: |
-          . ~/.cargo/env
-          cargo test --verbose --all-features
+        run: cargo test --verbose --all-features
 
   quality:
     runs-on: ubuntu-latest

CHANGELOG.md

@@ -1,7 +1,14 @@
 # Changelog
 
-<!-- vim-markdown-toc GFM -->
-
+* [4.1.2](#412)
+* [4.1.1](#411)
+* [4.1](#41)
+* [4.0.3](#403)
+* [4.0.2](#402)
+* [4.0.1](#401)
+* [4.0](#40)
+  * [Major changes](#major-changes)
+  * [Patch changes](#patch-changes)
 * [3.5.4](#354)
 * [3.5.3](#353)
 * [3.5.2](#352)
@@ -14,19 +21,19 @@
 * [3.2](#32)
 * [3.1](#31)
 * [3.0](#30)
-  * [Major changes](#major-changes)
-  * [Patch changes](#patch-changes)
+  * [Major changes](#major-changes-1)
+  * [Patch changes](#patch-changes-1)
 * [2.2](#22)
 * [2.1.1](#211)
 * [2.1](#21)
 * [2.0.1](#201)
 * [2.0](#20)
-  * [Major changes](#major-changes-1)
+  * [Major changes](#major-changes-2)
   * [Minor changes](#minor-changes)
 * [1.0](#10)
-  * [Major changes](#major-changes-2)
+  * [Major changes](#major-changes-3)
   * [Minor changes](#minor-changes-1)
-  * [Patch changes](#patch-changes-1)
+  * [Patch changes](#patch-changes-2)
 * [0.2.3](#023)
 * [0.2.2](#022)
 * [0.2.1](#021)
@@ -34,7 +41,79 @@
 * [0.1.1](#011)
 * [0.1](#01)
 
-<!-- vim-markdown-toc -->
+# 4.2.0
+
+> Feb 1, 2023
+
+- Add support for `glam-0.22`.
+- Add support for `nalgebra-0.32`.
+- Add deprecation lints for `impl-*` feature gates. Those shouldn’t be used anymore and the `*` variant should be 
+  preferred. For instance, if you used `impl-cgmath`, you should just use the `cgmath` feature gate now.
+
+# 4.1.1
+
+> Jul 27, 2022
+
+- Internal enhancement of sampling splines by looking for control points. That brings the lookup from _O(N)_ to
+  _O(log(N))_. That is super embarassing because it should have been the default from the very first commit. Sorry
+  about that.
+- Fix hermite cubic interpolation.
+- Add support for `glam-0.21`.
+- Add support for `nalgebra-0.31`.
+
+# 4.1
+
+> Mar 28, 2022
+
+- Support for edition 2021.
+- Bump `float-cmp` dependency.
+- Bump `glam` dependency.
+- Bump `nalgebra` dependency.
+- Simplify the CI.
+
+# 4.0.3
+
+> Jul 11, 2021
+
+- Add more implementors for `Interpolate`.
+
+# 4.0.2
+
+> Jul 11, 2021
+
+- **Yanked.**
+
+# 4.0.1
+
+> Jul 11, 2021
+
+- Add support up to `glam-0.17`.
+- Add support up to `nalgebra-0.27`.
+- Replace the name of some feature gates:
+  - `serialization` becomes `serde`.
+  - `impl-*` becomes `*`.
+  - The previous feature gates are kept around to prevent a breaking change but will eventually be removed in the next
+    major update.
+
+# 4.0
+
+> Mar 05, 2021
+
+## Major changes
+
+- Switch the `Interpolation` enum to `#[non_exhaustive]` to allow adding more interpolation modes (if any) in the
+  future.
+- Introduce `SampledWithKey`, which is a more elegant / typed way to access a sample along with its associated key
+  index.
+- Refactor the `Interpolate` trait and add the `Interpolator` trait.
+
+## Patch changes
+
+- Highly simplify the various implementors (`cgmath`, `nalgebra` and `glam`) so that maintenance is easy.
+- Expose the `impl_Interpolate` macro, allowing to implement the API all at once if a type implements the various
+  `std::ops:*` traits. Since most of the crates do, this macro makes it really easy to add support for a crate.
+- Drop `simba` as a direct dependency.
+- Drop `num-traits` as a direct dependency.
 
 # 3.5.4
 

Cargo.toml

@@ -1,6 +1,6 @@
 [package]
 name = "splines"
-version = "3.5.4"
+version = "4.2.0"
 license = "BSD-3-Clause"
 authors = ["Dimitri Sabadie <dimitri.sabadie@gmail.com>"]
 description = "Spline interpolation made easy"
@@ -11,41 +11,32 @@ repository = "https://github.com/phaazon/splines"
 documentation = "https://docs.rs/splines"
 readme = "README.md"
 
-edition = "2018"
-
-[badges]
-travis-ci = { repository = "phaazon/splines", branch = "master" }
-is-it-maintained-issue-resolution = { repository = "phaazon/splines" }
-is-it-maintained-open-issues = { repository = "phaazon/splines" }
-maintenance = { status = "actively-developed" }
+edition = "2021"
 
 [features]
 default = ["std"]
 impl-cgmath = ["cgmath"]
 impl-glam = ["glam"]
-impl-nalgebra = ["nalgebra", "num-traits", "simba"]
-serialization = ["serde", "serde_derive"]
+impl-nalgebra = ["nalgebra"]
+serialization = ["serde"]
 std = []
 
 [dependencies]
 cgmath = { version = ">=0.17, <0.19", optional = true }
-glam = { version = ">=0.10, <0.12", optional = true }
-nalgebra = { version = ">=0.21, <0.25", optional = true }
-num-traits = { version = "0.2", optional = true }
-serde =  { version = "1", optional = true }
-serde_derive = { version = "1", optional = true }
-simba = { version = ">=0.1.2, <0.5", optional = true }
+glam = { version = ">=0.10, <0.25", optional = true }
+nalgebra = { version = ">=0.21, <0.33", optional = true }
+serde =  { version = "1", features = ["derive"], optional = true }
 
 [dev-dependencies]
-float-cmp = ">=0.6, < 0.9"
+float-cmp = ">=0.6, < 0.10"
 serde_json = "1"
 
 [package.metadata.docs.rs]
-all-features = true
+features = ["std", "cgmath", "glam", "nalgebra", "serde"]
 
 [[example]]
 name = "hello-world"
 
 [[example]]
 name = "serialization"
-required-features = ["serialization"]
+required-features = ["serde"]

README.md

@@ -83,19 +83,19 @@ not. It’s especially important to see how it copes with the documentation.
 
 So here’s a list of currently supported features and how to enable them:
 
-  - **Serialization / deserialization.**
+  - **Serde.**
     - This feature implements both the `Serialize` and `Deserialize` traits from `serde` for all
       types exported by this crate.
-    - Enable with the `"serialization"` feature.
+    - Enable with the `"serde"` feature.
   - **[cgmath](https://crates.io/crates/cgmath) implementors.**
     - Adds some useful implementations of `Interpolate` for some cgmath types.
-    - Enable with the `"impl-cgmath"` feature.
+    - Enable with the `"cgmath"` feature.
   - **[glam](https://crates.io/crates/glam) implementors.**
     - Adds some useful implementations of `Interpolate` for some glam types.
-    - Enable with the `"impl-glam"` feature.
+    - Enable with the `"glam"` feature.
   - **[nalgebra](https://crates.io/crates/nalgebra) implementors.**
     - Adds some useful implementations of `Interpolate` for some nalgebra types.
-    - Enable with the `"impl-nalgebra"` feature.
+    - Enable with the `"nalgebra"` feature.
   - **Standard library / no standard library.**
     - It’s possible to compile against the standard library or go on your own without it.
     - Compiling with the standard library is enabled by default.

src/cgmath.rs

@@ -1,92 +1,15 @@
-use cgmath::{
-  BaseFloat, BaseNum, InnerSpace, Quaternion, Vector1, Vector2, Vector3, Vector4, VectorSpace,
-};
+use crate::impl_Interpolate;
 
-use crate::interpolate::{
-  cubic_bezier_def, cubic_hermite_def, quadratic_bezier_def, Additive, Interpolate, Linear, One,
-};
+use cgmath::{Quaternion, Vector1, Vector2, Vector3, Vector4};
 
-macro_rules! impl_interpolate_vec {
-  ($($t:tt)*) => {
-    impl<T> Linear<T> for $($t)*<T> where T: BaseNum {
-      #[inline(always)]
-      fn outer_mul(self, t: T) -> Self {
-        self * t
-      }
+impl_Interpolate!(f32, Vector1<f32>, std::f32::consts::PI);
+impl_Interpolate!(f32, Vector2<f32>, std::f32::consts::PI);
+impl_Interpolate!(f32, Vector3<f32>, std::f32::consts::PI);
+impl_Interpolate!(f32, Vector4<f32>, std::f32::consts::PI);
+impl_Interpolate!(f32, Quaternion<f32>, std::f32::consts::PI);
 
-      #[inline(always)]
-      fn outer_div(self, t: T) -> Self {
-        self / t
-      }
-    }
-
-    impl<T> Interpolate<T> for $($t)*<T>
-    where Self: InnerSpace<Scalar = T>, T: Additive + BaseFloat + One {
-      #[inline(always)]
-      fn lerp(a: Self, b: Self, t: T) -> Self {
-        a.lerp(b, t)
-      }
-
-      #[inline(always)]
-      fn cubic_hermite(x: (Self, T), a: (Self, T), b: (Self, T), y: (Self, T), t: T) -> Self {
-        cubic_hermite_def(x, a, b, y, t)
-      }
-
-      #[inline(always)]
-      fn quadratic_bezier(a: Self, u: Self, b: Self, t: T) -> Self {
-        quadratic_bezier_def(a, u, b, t)
-      }
-
-      #[inline(always)]
-      fn cubic_bezier(a: Self, u: Self, v: Self, b: Self, t: T) -> Self {
-        cubic_bezier_def(a, u, v, b, t)
-      }
-    }
-  }
-}
-
-impl_interpolate_vec!(Vector1);
-impl_interpolate_vec!(Vector2);
-impl_interpolate_vec!(Vector3);
-impl_interpolate_vec!(Vector4);
-
-impl<T> Linear<T> for Quaternion<T>
-where
-  T: BaseFloat,
-{
-  #[inline(always)]
-  fn outer_mul(self, t: T) -> Self {
-    self * t
-  }
-
-  #[inline(always)]
-  fn outer_div(self, t: T) -> Self {
-    self / t
-  }
-}
-
-impl<T> Interpolate<T> for Quaternion<T>
-where
-  Self: InnerSpace<Scalar = T>,
-  T: Additive + BaseFloat + One,
-{
-  #[inline(always)]
-  fn lerp(a: Self, b: Self, t: T) -> Self {
-    a.nlerp(b, t)
-  }
-
-  #[inline(always)]
-  fn cubic_hermite(x: (Self, T), a: (Self, T), b: (Self, T), y: (Self, T), t: T) -> Self {
-    cubic_hermite_def(x, a, b, y, t)
-  }
-
-  #[inline(always)]
-  fn quadratic_bezier(a: Self, u: Self, b: Self, t: T) -> Self {
-    quadratic_bezier_def(a, u, b, t)
-  }
-
-  #[inline(always)]
-  fn cubic_bezier(a: Self, u: Self, v: Self, b: Self, t: T) -> Self {
-    cubic_bezier_def(a, u, v, b, t)
-  }
-}
+impl_Interpolate!(f64, Vector1<f64>, std::f64::consts::PI);
+impl_Interpolate!(f64, Vector2<f64>, std::f64::consts::PI);
+impl_Interpolate!(f64, Vector3<f64>, std::f64::consts::PI);
+impl_Interpolate!(f64, Vector4<f64>, std::f64::consts::PI);
+impl_Interpolate!(f64, Quaternion<f64>, std::f64::consts::PI);

src/glam.rs

@@ -1,88 +1,8 @@
+use crate::impl_Interpolate;
 use glam::{Quat, Vec2, Vec3, Vec3A, Vec4};
 
-use crate::interpolate::{
-  cubic_bezier_def, cubic_hermite_def, quadratic_bezier_def, Interpolate, Linear,
-};
-
-macro_rules! impl_interpolate_vec {
-  ($($t:tt)*) => {
-    impl Linear<f32> for $($t)* {
-      #[inline(always)]
-      fn outer_mul(self, t: f32) -> Self {
-        self * t
-      }
-
-      #[inline(always)]
-      fn outer_div(self, t: f32) -> Self {
-        self / t
-      }
-    }
-
-    impl Interpolate<f32> for $($t)* {
-      #[inline(always)]
-      fn lerp(a: Self, b: Self, t: f32) -> Self {
-        a.lerp(b, t)
-      }
-
-      #[inline(always)]
-      fn cubic_hermite(
-        x: (Self, f32),
-        a: (Self, f32),
-        b: (Self, f32),
-        y: (Self, f32),
-        t: f32,
-      ) -> Self {
-        cubic_hermite_def(x, a, b, y, t)
-      }
-
-      #[inline(always)]
-      fn quadratic_bezier(a: Self, u: Self, b: Self, t: f32) -> Self {
-        quadratic_bezier_def(a, u, b, t)
-      }
-
-      #[inline(always)]
-      fn cubic_bezier(a: Self, u: Self, v: Self, b: Self, t: f32) -> Self {
-        cubic_bezier_def(a, u, v, b, t)
-      }
-    }
-  }
-}
-
-impl_interpolate_vec!(Vec2);
-impl_interpolate_vec!(Vec3);
-impl_interpolate_vec!(Vec3A);
-impl_interpolate_vec!(Vec4);
-
-impl Linear<f32> for Quat {
-  #[inline(always)]
-  fn outer_mul(self, t: f32) -> Self {
-    self * t
-  }
-
-  #[inline(always)]
-  fn outer_div(self, t: f32) -> Self {
-    self / t
-  }
-}
-
-impl Interpolate<f32> for Quat {
-  #[inline(always)]
-  fn lerp(a: Self, b: Self, t: f32) -> Self {
-    a.lerp(b, t)
-  }
-
-  #[inline(always)]
-  fn cubic_hermite(x: (Self, f32), a: (Self, f32), b: (Self, f32), y: (Self, f32), t: f32) -> Self {
-    cubic_hermite_def(x, a, b, y, t)
-  }
-
-  #[inline(always)]
-  fn quadratic_bezier(a: Self, u: Self, b: Self, t: f32) -> Self {
-    quadratic_bezier_def(a, u, b, t)
-  }
-
-  #[inline(always)]
-  fn cubic_bezier(a: Self, u: Self, v: Self, b: Self, t: f32) -> Self {
-    cubic_bezier_def(a, u, v, b, t)
-  }
-}
+impl_Interpolate!(f32, Vec2, std::f32::consts::PI);
+impl_Interpolate!(f32, Vec3, std::f32::consts::PI);
+impl_Interpolate!(f32, Vec3A, std::f32::consts::PI);
+impl_Interpolate!(f32, Vec4, std::f32::consts::PI);
+impl_Interpolate!(f32, Quat, std::f32::consts::PI);

src/interpolate.rs

@@ -42,277 +42,196 @@ use core::ops::{Add, Mul, Sub};
 use std::f32;
 #[cfg(feature = "std")]
 use std::f64;
-#[cfg(feature = "std")]
-use std::ops::{Add, Mul, Sub};
 
-/// Keys that can be interpolated in between. Implementing this trait is required to perform
-/// sampling on splines.
+/// Types that can be used as interpolator in splines.
 ///
-/// `T` is the variable used to sample with. Typical implementations use [`f32`] or [`f64`], but
-/// you’re free to use the ones you like. Feel free to have a look at [`Spline::sample`] for
-/// instance to know which trait your type must implement to be usable.
+/// An interpolator value is like the fabric on which control keys (and sampled values) live on.
+pub trait Interpolator: Sized + Copy + PartialOrd {
+  /// Normalize the interpolator.
+  fn normalize(self, start: Self, end: Self) -> Self;
+}
+
+macro_rules! impl_Interpolator {
+  ($t:ty) => {
+    impl Interpolator for $t {
+      fn normalize(self, start: Self, end: Self) -> Self {
+        (self - start) / (end - start)
+      }
+    }
+  };
+}
+
+impl_Interpolator!(f32);
+impl_Interpolator!(f64);
+
+/// Values that can be interpolated. Implementing this trait is required to perform sampling on splines.
 ///
-/// [`Spline::sample`]: crate::spline::Spline::sample
-pub trait Interpolate<T>: Sized + Copy + Linear<T> {
+/// `T` is the interpolator used to sample with. Typical implementations use [`f32`] or [`f64`], but
+/// you’re free to use the ones you like.
+pub trait Interpolate<T>: Sized + Copy {
+  /// Step interpolation.
+  fn step(t: T, threshold: T, a: Self, b: Self) -> Self;
+
   /// Linear interpolation.
-  fn lerp(a: Self, b: Self, t: T) -> Self;
+  fn lerp(t: T, a: Self, b: Self) -> Self;
+
+  /// Cosine interpolation.
+  fn cosine(t: T, a: Self, b: Self) -> Self;
 
   /// Cubic hermite interpolation.
-  ///
-  /// Default to [`lerp`].
-  ///
-  /// [`lerp`]: Interpolate::lerp
-  fn cubic_hermite(_: (Self, T), a: (Self, T), b: (Self, T), _: (Self, T), t: T) -> Self {
-    Self::lerp(a.0, b.0, t)
-  }
+  fn cubic_hermite(t: T, x: (T, Self), a: (T, Self), b: (T, Self), y: (T, Self)) -> Self;
 
   /// Quadratic Bézier interpolation.
-  fn quadratic_bezier(a: Self, u: Self, b: Self, t: T) -> Self;
+  ///
+  /// `a` is the first point; `b` is the second point and `u` is the tangent of `a` to the curve.
+  fn quadratic_bezier(t: T, a: Self, u: Self, b: Self) -> Self;
 
   /// Cubic Bézier interpolation.
-  fn cubic_bezier(a: Self, u: Self, v: Self, b: Self, t: T) -> Self;
+  ///
+  /// `a` is the first point; `b` is the second point; `u` is the output tangent of `a` to the curve and `v` is the
+  /// input tangent of `b` to the curve.
+  fn cubic_bezier(t: T, a: Self, u: Self, v: Self, b: Self) -> Self;
+
+  /// Cubic Bézier interpolation – special case for non-explicit second tangent.
+  ///
+  /// This version does the same computation as [`Interpolate::cubic_bezier`] but computes the second tangent by
+  /// inversing it (typical when the next point uses a Bézier interpolation, where input and output tangents are
+  /// mirrored for the same key).
+  fn cubic_bezier_mirrored(t: T, a: Self, u: Self, v: Self, b: Self) -> Self;
 }
 
-/// Set of types that support additions and subtraction.
-///
-/// The [`Copy`] trait is also a supertrait as it’s likely to be used everywhere.
-pub trait Additive: Copy + Add<Self, Output = Self> + Sub<Self, Output = Self> {}
-
-impl<T> Additive for T where T: Copy + Add<Self, Output = Self> + Sub<Self, Output = Self> {}
-
-/// Set of additive types that support outer multiplication and division, making them linear.
-pub trait Linear<T>: Additive {
-  /// Apply an outer multiplication law.
-  fn outer_mul(self, t: T) -> Self;
-
-  /// Apply an outer division law.
-  fn outer_div(self, t: T) -> Self;
-}
-
-macro_rules! impl_linear_simple {
-  ($t:ty) => {
-    impl Linear<$t> for $t {
-      fn outer_mul(self, t: $t) -> Self {
-        self * t
+#[macro_export]
+macro_rules! impl_Interpolate {
+  ($t:ty, $v:ty, $pi:expr) => {
+    impl $crate::interpolate::Interpolate<$t> for $v {
+      fn step(t: $t, threshold: $t, a: Self, b: Self) -> Self {
+        if t < threshold {
+          a
+        } else {
+          b
+        }
       }
 
-      /// Apply an outer division law.
-      fn outer_div(self, t: $t) -> Self {
-        self / t
-      }
-    }
-  };
-}
-
-impl_linear_simple!(f32);
-impl_linear_simple!(f64);
-
-macro_rules! impl_linear_cast {
-  ($t:ty, $q:ty) => {
-    impl Linear<$t> for $q {
-      fn outer_mul(self, t: $t) -> Self {
-        self * t as $q
+      fn cosine(t: $t, a: Self, b: Self) -> Self {
+        let cos_nt = (1. - (t * $pi).cos()) * 0.5;
+        <Self as $crate::interpolate::Interpolate<$t>>::lerp(cos_nt, a, b)
       }
 
-      /// Apply an outer division law.
-      fn outer_div(self, t: $t) -> Self {
-        self / t as $q
-      }
-    }
-  };
-}
-
-impl_linear_cast!(f32, f64);
-impl_linear_cast!(f64, f32);
-
-/// Types with a neutral element for multiplication.
-pub trait One {
-  /// The neutral element for the multiplicative monoid — typically called `1`.
-  fn one() -> Self;
-}
-
-macro_rules! impl_one_float {
-  ($t:ty) => {
-    impl One for $t {
-      #[inline(always)]
-      fn one() -> Self {
-        1.
-      }
-    }
-  };
-}
-
-impl_one_float!(f32);
-impl_one_float!(f64);
-
-/// Types with a sane definition of π and cosine.
-pub trait Trigo {
-  /// π.
-  fn pi() -> Self;
-
-  /// Cosine of the argument.
-  fn cos(self) -> Self;
-}
-
-impl Trigo for f32 {
-  #[inline(always)]
-  fn pi() -> Self {
-    f32::consts::PI
-  }
-
-  #[inline(always)]
-  fn cos(self) -> Self {
-    #[cfg(feature = "std")]
-    {
-      self.cos()
-    }
-
-    #[cfg(not(feature = "std"))]
-    {
-      unsafe { cosf32(self) }
-    }
-  }
-}
-
-impl Trigo for f64 {
-  #[inline(always)]
-  fn pi() -> Self {
-    f64::consts::PI
-  }
-
-  #[inline(always)]
-  fn cos(self) -> Self {
-    #[cfg(feature = "std")]
-    {
-      self.cos()
-    }
-
-    #[cfg(not(feature = "std"))]
-    {
-      unsafe { cosf64(self) }
-    }
-  }
-}
-
-/// Default implementation of [`Interpolate::cubic_hermite`].
-///
-/// `V` is the value being interpolated. `T` is the sampling value (also sometimes called time).
-pub fn cubic_hermite_def<V, T>(x: (V, T), a: (V, T), b: (V, T), y: (V, T), t: T) -> V
-where
-  V: Linear<T>,
-  T: Additive + Mul<T, Output = T> + One,
-{
-  // some stupid generic constants, because Rust doesn’t have polymorphic literals…
-  let one_t = T::one();
-  let two_t = one_t + one_t; // lolololol
-  let three_t = two_t + one_t; // megalol
-
-  // sampler stuff
-  let t2 = t * t;
-  let t3 = t2 * t;
-  let two_t3 = t3 * two_t;
-  let three_t2 = t2 * three_t;
-
-  // tangents
-  let m0 = (b.0 - x.0).outer_div(b.1 - x.1);
-  let m1 = (y.0 - a.0).outer_div(y.1 - a.1);
-
-  a.0.outer_mul(two_t3 - three_t2 + one_t)
-    + m0.outer_mul(t3 - t2 * two_t + t)
-    + b.0.outer_mul(three_t2 - two_t3)
-    + m1.outer_mul(t3 - t2)
-}
-
-/// Default implementation of [`Interpolate::quadratic_bezier`].
-///
-/// `V` is the value being interpolated. `T` is the sampling value (also sometimes called time).
-pub fn quadratic_bezier_def<V, T>(a: V, u: V, b: V, t: T) -> V
-where
-  V: Linear<T>,
-  T: Additive + Mul<T, Output = T> + One,
-{
-  let one_t = T::one() - t;
-  let one_t_2 = one_t * one_t;
-  u + (a - u).outer_mul(one_t_2) + (b - u).outer_mul(t * t)
-}
-
-/// Default implementation of [`Interpolate::cubic_bezier`].
-///
-/// `V` is the value being interpolated. `T` is the sampling value (also sometimes called time).
-pub fn cubic_bezier_def<V, T>(a: V, u: V, v: V, b: V, t: T) -> V
-where
-  V: Linear<T>,
-  T: Additive + Mul<T, Output = T> + One,
-{
-  let one_t = T::one() - t;
-  let one_t_2 = one_t * one_t;
-  let one_t_3 = one_t_2 * one_t;
-  let three = T::one() + T::one() + T::one();
-
-  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 {
-  ($t:ty) => {
-    impl Interpolate<$t> for $t {
-      fn lerp(a: Self, b: Self, t: $t) -> Self {
+      fn lerp(t: $t, a: Self, b: Self) -> Self {
         a * (1. - t) + b * t
       }
 
-      fn cubic_hermite(x: (Self, $t), a: (Self, $t), b: (Self, $t), y: (Self, $t), t: $t) -> Self {
-        cubic_hermite_def(x, a, b, y, t)
+      fn cubic_hermite(t: $t, x: ($t, Self), a: ($t, Self), b: ($t, Self), y: ($t, Self)) -> Self {
+        // sampler stuff
+        let two_t = t * 2.;
+        let three_t = t * 3.;
+        let t2 = t * t;
+        let t3 = t2 * t;
+        let two_t3 = t2 * two_t;
+        let two_t2 = t * two_t;
+        let three_t2 = t * three_t;
+
+        // tangents
+        let m0 = (b.1 - x.1) / (b.0 - x.0) * (b.0 - a.0);
+        let m1 = (y.1 - a.1) / (y.0 - a.0) * (b.0 - a.0);
+
+        a.1 * (two_t3 - three_t2 + 1.)
+          + m0 * (t3 - two_t2 + t)
+          + b.1 * (three_t2 - two_t3)
+          + m1 * (t3 - t2)
       }
 
-      fn quadratic_bezier(a: Self, u: Self, b: Self, t: $t) -> Self {
-        quadratic_bezier_def(a, u, b, t)
+      fn quadratic_bezier(t: $t, a: Self, u: Self, b: Self) -> Self {
+        let one_t = 1. - t;
+        let one_t2 = one_t * one_t;
+
+        u + (a - u) * one_t2 + (b - u) * t * t
       }
 
-      fn cubic_bezier(a: Self, u: Self, v: Self, b: Self, t: $t) -> Self {
-        cubic_bezier_def(a, u, v, b, t)
+      fn cubic_bezier(t: $t, a: Self, u: Self, v: Self, b: Self) -> Self {
+        let one_t = 1. - t;
+        let one_t2 = one_t * one_t;
+        let one_t3 = one_t2 * one_t;
+        let t2 = t * t;
+
+        a * one_t3 + (u * one_t2 * t + v * one_t * t2) * 3. + b * t2 * t
+      }
+
+      fn cubic_bezier_mirrored(t: $t, a: Self, u: Self, v: Self, b: Self) -> Self {
+        <Self as $crate::interpolate::Interpolate<$t>>::cubic_bezier(t, a, u, b + b - v, b)
       }
     }
   };
 }
 
-impl_interpolate_simple!(f32);
-impl_interpolate_simple!(f64);
-
-macro_rules! impl_interpolate_via {
-  ($t:ty, $v:ty) => {
-    impl Interpolate<$t> for $v {
-      fn lerp(a: Self, b: Self, t: $t) -> Self {
-        a * (1. - t as $v) + b * t as $v
+#[macro_export]
+macro_rules! impl_InterpolateT {
+  ($t:ty, $v:ty, $pi:expr) => {
+    impl $crate::interpolate::Interpolate<$t> for $v {
+      fn step(t: $t, threshold: $t, a: Self, b: Self) -> Self {
+        if t < threshold {
+          a
+        } else {
+          b
+        }
       }
 
-      fn cubic_hermite(
-        (x, xt): (Self, $t),
-        (a, at): (Self, $t),
-        (b, bt): (Self, $t),
-        (y, yt): (Self, $t),
-        t: $t,
-      ) -> Self {
-        cubic_hermite_def(
-          (x, xt as $v),
-          (a, at as $v),
-          (b, bt as $v),
-          (y, yt as $v),
-          t as $v,
-        )
+      fn cosine(t: $t, a: Self, b: Self) -> Self {
+        let cos_nt = (1. - (t * $pi).cos()) * 0.5;
+        <Self as $crate::interpolate::Interpolate<$t>>::lerp(cos_nt, a, b)
       }
 
-      fn quadratic_bezier(a: Self, u: Self, b: Self, t: $t) -> Self {
-        quadratic_bezier_def(a, u, b, t as $v)
+      fn lerp(t: $t, a: Self, b: Self) -> Self {
+        let t = Self::from(t);
+        a * (1. - t) + b * t
       }
 
-      fn cubic_bezier(a: Self, u: Self, v: Self, b: Self, t: $t) -> Self {
-        cubic_bezier_def(a, u, v, b, t as $v)
+      fn cubic_hermite(t: $t, x: ($t, Self), a: ($t, Self), b: ($t, Self), y: ($t, Self)) -> Self {
+        // sampler stuff
+        let t = Self::from(t);
+        let two_t = t * 2.;
+        let three_t = t * 3.;
+        let t2 = t * t;
+        let t3 = t2 * t;
+        let two_t3 = t2 * two_t;
+        let two_t2 = t * two_t;
+        let three_t2 = t * three_t;
+
+        // tangents
+        let m0 = (b.1 - x.1) / (Self::from(b.0 - x.0)) * (Self::from(b.0 - a.0));
+        let m1 = (y.1 - a.1) / (Self::from(y.0 - a.0)) * (Self::from(b.0 - a.0));
+
+        a.1 * (two_t3 - three_t2 + 1.)
+          + m0 * (t3 - two_t2 + t)
+          + b.1 * (three_t2 - two_t3)
+          + m1 * (t3 - t2)
+      }
+
+      fn quadratic_bezier(t: $t, a: Self, u: Self, b: Self) -> Self {
+        let t = Self::from(t);
+        let one_t = 1. - t;
+        let one_t2 = one_t * one_t;
+
+        u + (a - u) * one_t2 + (b - u) * t * t
+      }
+
+      fn cubic_bezier(t: $t, a: Self, u: Self, v: Self, b: Self) -> Self {
+        let t = Self::from(t);
+        let one_t = 1. - t;
+        let one_t2 = one_t * one_t;
+        let one_t3 = one_t2 * one_t;
+        let t2 = t * t;
+
+        a * one_t3 + (u * one_t2 * t + v * one_t * t2) * 3. + b * t2 * t
+      }
+
+      fn cubic_bezier_mirrored(t: $t, a: Self, u: Self, v: Self, b: Self) -> Self {
+        <Self as $crate::interpolate::Interpolate<$t>>::cubic_bezier(t, a, u, b + b - v, b)
       }
     }
   };
 }
 
-impl_interpolate_via!(f32, f64);
-impl_interpolate_via!(f64, f32);
+impl_Interpolate!(f32, f32, std::f32::consts::PI);
+impl_Interpolate!(f64, f64, std::f64::consts::PI);
+impl_InterpolateT!(f32, f64, std::f32::consts::PI);

src/interpolation.rs

@@ -1,14 +1,18 @@
 //! Available interpolation modes.
 
-#[cfg(feature = "serialization")]
-use serde_derive::{Deserialize, Serialize};
+#[cfg(any(feature = "serialization", feature = "serde"))]
+use serde::{Deserialize, Serialize};
 
 /// Available kind of interpolations.
 ///
 /// Feel free to visit each variant for more documentation.
+#[non_exhaustive]
 #[derive(Copy, Clone, Debug, Eq, PartialEq)]
-#[cfg_attr(feature = "serialization", derive(Deserialize, Serialize))]
-#[cfg_attr(feature = "serialization", serde(rename_all = "snake_case"))]
+#[cfg_attr(
+  any(feature = "serialization", feature = "serde"),
+  derive(Deserialize, Serialize),
+  serde(rename_all = "snake_case")
+)]
 pub enum Interpolation<T, V> {
   /// Hold a [`Key`] until the sampling value passes the normalized step threshold, in which
   /// case the next key is used.
@@ -20,12 +24,16 @@ pub enum Interpolation<T, V> {
   ///
   /// [`Key`]: crate::key::Key
   Step(T),
+
   /// Linear interpolation between a key and the next one.
   Linear,
+
   /// Cosine interpolation between a key and the next one.
   Cosine,
+
   /// Catmull-Rom interpolation, performing a cubic Hermite interpolation using four keys.
   CatmullRom,
+
   /// Bézier interpolation.
   ///
   /// A control point that uses such an interpolation is associated with an extra point. The segmant
@@ -41,6 +49,7 @@ pub enum Interpolation<T, V> {
   ///   point and the current control point’s associated point. This is called _quadratic Bézer
   ///   interpolation_ and it kicks ass too, but a bit less than cubic.
   Bezier(V),
+
   /// A special Bézier interpolation using an _input tangent_ and an _output tangent_.
   ///
   /// With this kind of interpolation, a control point has an input tangent, which has the same role
@@ -53,8 +62,6 @@ pub enum Interpolation<T, V> {
   ///
   /// Stroke Bézier interpolation is always a cubic Bézier interpolation by default.
   StrokeBezier(V, V),
-  #[doc(hidden)]
-  __NonExhaustive,
 }
 
 impl<T, V> Default for Interpolation<T, V> {

src/key.rs

@@ -1,15 +1,14 @@
 //! Spline control points.
 //!
-//! A control point associates to a “sampling value” (a.k.a. time) a carriede value that can be
+//! A control point associates to a “sampling value” (a.k.a. time) a carried value that can be
 //! interpolated along the curve made by the control points.
 //!
 //! Splines constructed with this crate have the property that it’s possible to change the
 //! interpolation mode on a key-based way, allowing you to implement and encode complex curves.
 
-#[cfg(feature = "serialization")]
-use serde_derive::{Deserialize, Serialize};
-
 use crate::interpolation::Interpolation;
+#[cfg(any(feature = "serialization", feature = "serde"))]
+use serde::{Deserialize, Serialize};
 
 /// A spline control point.
 ///
@@ -19,8 +18,11 @@ use crate::interpolation::Interpolation;
 ///
 /// [`Interpolation`]: crate::interpolation::Interpolation
 #[derive(Copy, Clone, Debug, Eq, PartialEq)]
-#[cfg_attr(feature = "serialization", derive(Deserialize, Serialize))]
-#[cfg_attr(feature = "serialization", serde(rename_all = "snake_case"))]
+#[cfg_attr(
+  any(feature = "serialization", feature = "serde"),
+  derive(Deserialize, Serialize),
+  serde(rename_all = "snake_case")
+)]
 pub struct Key<T, V> {
   /// Interpolation parameter at which the [`Key`] should be reached.
   pub t: T,

src/lib.rs

@@ -84,19 +84,19 @@
 //!
 //! So here’s a list of currently supported features and how to enable them:
 //!
-//!   - **Serialization / deserialization.**
+//!   - **Serde.**
 //!     - This feature implements both the `Serialize` and `Deserialize` traits from `serde` for all
 //!       types exported by this crate.
-//!     - Enable with the `"serialization"` feature.
+//!     - Enable with the `"serde"` feature.
 //!   - **[cgmath](https://crates.io/crates/cgmath) implementors.**
 //!     - Adds some useful implementations of `Interpolate` for some cgmath types.
-//!     - Enable with the `"impl-cgmath"` feature.
+//!     - Enable with the `"cgmath"` feature.
 //!   - **[glam](https://crates.io/crates/glam) implementors.**
 //!     - Adds some useful implementations of `Interpolate` for some glam types.
-//!     - Enable with the `"impl-glam"` feature.
+//!     - Enable with the `"glam"` feature.
 //!   - **[nalgebra](https://crates.io/crates/nalgebra) implementors.**
 //!     - Adds some useful implementations of `Interpolate` for some nalgebra types.
-//!     - Enable with the `"impl-nalgebra"` feature.
+//!     - Enable with the `"nalgebra"` feature.
 //!   - **Standard library / no standard library.**
 //!     - It’s possible to compile against the standard library or go on your own without it.
 //!     - Compiling with the standard library is enabled by default.
@@ -108,19 +108,30 @@
 #![cfg_attr(not(feature = "std"), no_std)]
 #![cfg_attr(not(feature = "std"), feature(alloc))]
 #![cfg_attr(not(feature = "std"), feature(core_intrinsics))]
+#![cfg_attr(
+  any(
+    feature = "impl-cgmath",
+    feature = "impl-glam",
+    feature = "impl-nalgebra"
+  ),
+  deprecated(
+    since = "4.2.0",
+    note = "you are using an impl-* feature gate; please switch to * (e.g. impl-cgmath becomes cgmath)"
+  )
+)]
 
 #[cfg(not(feature = "std"))]
 extern crate alloc;
 
-#[cfg(feature = "impl-cgmath")]
+#[cfg(any(feature = "impl-cgmath", feature = "cgmath"))]
 mod cgmath;
-#[cfg(feature = "impl-glam")]
+#[cfg(any(feature = "impl-glam", feature = "glam"))]
 mod glam;
 pub mod interpolate;
 pub mod interpolation;
 pub mod iter;
 pub mod key;
-#[cfg(feature = "impl-nalgebra")]
+#[cfg(any(feature = "impl-nalgebra", feature = "nalgebra"))]
 mod nalgebra;
 pub mod spline;
 

src/nalgebra.rs

@@ -1,70 +1,18 @@
-use nalgebra::{Scalar, Vector, Vector1, Vector2, Vector3, Vector4, Vector5, Vector6};
-use num_traits as nt;
-use simba::scalar::{ClosedAdd, ClosedDiv, ClosedMul, ClosedSub};
-use std::ops::Mul;
+use crate::impl_Interpolate;
+use nalgebra::{Quaternion, Vector1, Vector2, Vector3, Vector4, Vector5, Vector6};
 
-use crate::interpolate::{
-  cubic_bezier_def, cubic_hermite_def, quadratic_bezier_def, Additive, Interpolate, Linear, One,
-};
+impl_Interpolate!(f32, Vector1<f32>, std::f32::consts::PI);
+impl_Interpolate!(f32, Vector2<f32>, std::f32::consts::PI);
+impl_Interpolate!(f32, Vector3<f32>, std::f32::consts::PI);
+impl_Interpolate!(f32, Vector4<f32>, std::f32::consts::PI);
+impl_Interpolate!(f32, Vector5<f32>, std::f32::consts::PI);
+impl_Interpolate!(f32, Vector6<f32>, std::f32::consts::PI);
+impl_Interpolate!(f32, Quaternion<f32>, std::f32::consts::PI);
 
-macro_rules! impl_interpolate_vector {
-  ($($t:tt)*) => {
-    // implement Linear
-    impl<T> Linear<T> for $($t)*<T>
-    where T: Scalar +
-             Copy +
-             ClosedAdd +
-             ClosedSub +
-             ClosedMul +
-             ClosedDiv {
-      #[inline(always)]
-      fn outer_mul(self, t: T) -> Self {
-        self * t
-      }
-
-      #[inline(always)]
-      fn outer_div(self, t: T) -> Self {
-        self / t
-      }
-    }
-
-    impl<T, V> Interpolate<T> for $($t)*<V>
-    where Self: Linear<T>,
-          T: Additive + One + Mul<T, Output = T>,
-          V: nt::One +
-             nt::Zero +
-             Additive +
-             Scalar +
-             ClosedAdd +
-             ClosedMul +
-             ClosedSub +
-             Interpolate<T> {
-      #[inline(always)]
-      fn lerp(a: Self, b: Self, t: T) -> Self {
-        Vector::zip_map(&a, &b, |c1, c2| Interpolate::lerp(c1, c2, t))
-      }
-
-      #[inline(always)]
-      fn cubic_hermite(x: (Self, T), a: (Self, T), b: (Self, T), y: (Self, T), t: T) -> Self {
-        cubic_hermite_def(x, a, b, y, t)
-      }
-
-      #[inline(always)]
-      fn quadratic_bezier(a: Self, u: Self, b: Self, t: T) -> Self {
-        quadratic_bezier_def(a, u, b, t)
-      }
-
-      #[inline(always)]
-      fn cubic_bezier(a: Self, u: Self, v: Self, b: Self, t: T) -> Self {
-        cubic_bezier_def(a, u, v, b, t)
-      }
-    }
-  }
-}
-
-impl_interpolate_vector!(Vector1);
-impl_interpolate_vector!(Vector2);
-impl_interpolate_vector!(Vector3);
-impl_interpolate_vector!(Vector4);
-impl_interpolate_vector!(Vector5);
-impl_interpolate_vector!(Vector6);
+impl_Interpolate!(f64, Vector1<f64>, std::f64::consts::PI);
+impl_Interpolate!(f64, Vector2<f64>, std::f64::consts::PI);
+impl_Interpolate!(f64, Vector3<f64>, std::f64::consts::PI);
+impl_Interpolate!(f64, Vector4<f64>, std::f64::consts::PI);
+impl_Interpolate!(f64, Vector5<f64>, std::f64::consts::PI);
+impl_Interpolate!(f64, Vector6<f64>, std::f64::consts::PI);
+impl_Interpolate!(f64, Quaternion<f64>, std::f64::consts::PI);

src/spline.rs

@@ -1,21 +1,19 @@
 //! Spline curves and operations.
 
+#[cfg(feature = "std")]
+use crate::interpolate::{Interpolate, Interpolator};
+use crate::interpolation::Interpolation;
+use crate::key::Key;
 #[cfg(not(feature = "std"))]
 use alloc::vec::Vec;
 #[cfg(not(feature = "std"))]
 use core::cmp::Ordering;
 #[cfg(not(feature = "std"))]
 use core::ops::{Div, Mul};
-#[cfg(feature = "serialization")]
-use serde_derive::{Deserialize, Serialize};
+#[cfg(any(feature = "serialization", feature = "serde"))]
+use serde::{Deserialize, Serialize};
 #[cfg(feature = "std")]
 use std::cmp::Ordering;
-#[cfg(feature = "std")]
-use std::ops::{Div, Mul};
-
-use crate::interpolate::{Additive, Interpolate, One, Trigo};
-use crate::interpolation::Interpolation;
-use crate::key::Key;
 
 /// Spline curve used to provide interpolation between control points (keys).
 ///
@@ -30,7 +28,10 @@ use crate::key::Key;
 ///   - [`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))]
+#[cfg_attr(
+  any(feature = "serialization", feature = "serde"),
+  derive(Deserialize, Serialize)
+)]
 pub struct Spline<T, V>(pub(crate) Vec<Key<T, V>>);
 
 impl<T, V> Spline<T, V> {
@@ -55,6 +56,13 @@ impl<T, V> Spline<T, V> {
     spline
   }
 
+  /// Clear the spline by removing all keys. Keeps the underlying allocated storage, so adding
+  /// new keys should be faster than creating a new [`Spline`]
+  #[inline]
+  pub fn clear(&mut self) {
+    self.0.clear()
+  }
+
   /// Create a new spline by consuming an `Iterater<Item = Key<T>>`. They keys don’t have to be
   /// sorted.
   ///
@@ -102,40 +110,38 @@ impl<T, V> Spline<T, V> {
   /// 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>>)>
+  pub fn sample_with_key(&self, t: T) -> Option<SampledWithKey<V>>
   where
-    T: Additive + One + Trigo + Mul<T, Output = T> + Div<T, Output = T> + PartialOrd,
-    V: Additive + Interpolate<T>,
+    T: Interpolator,
+    V: Interpolate<T>,
   {
     let keys = &self.0;
     let i = search_lower_cp(keys, t)?;
     let cp0 = &keys[i];
 
-    match cp0.interpolation {
+    let value = 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 };
+        let nt = t.normalize(cp0.t, cp1.t);
+        let value = V::step(nt, threshold, cp0.value, cp1.value);
 
-        Some((value, cp0, Some(cp1)))
+        Some(value)
       }
 
       Interpolation::Linear => {
         let cp1 = &keys[i + 1];
-        let nt = normalize_time(t, cp0, cp1);
-        let value = Interpolate::lerp(cp0.value, cp1.value, nt);
+        let nt = t.normalize(cp0.t, cp1.t);
+        let value = V::lerp(nt, cp0.value, cp1.value);
 
-        Some((value, cp0, Some(cp1)))
+        Some(value)
       }
 
       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);
+        let nt = t.normalize(cp0.t, cp1.t);
+        let value = V::cosine(nt, cp0.value, cp1.value);
 
-        Some((value, cp0, Some(cp1)))
+        Some(value)
       }
 
       Interpolation::CatmullRom => {
@@ -147,51 +153,47 @@ impl<T, V> Spline<T, V> {
           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),
+          let nt = t.normalize(cp0.t, cp1.t);
+          let value = V::cubic_hermite(
             nt,
+            (cpm0.t, cpm0.value),
+            (cp0.t, cp0.value),
+            (cp1.t, cp1.value),
+            (cpm1.t, cpm1.value),
           );
 
-          Some((value, cp0, Some(cp1)))
+          Some(value)
         }
       }
 
       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 nt = t.normalize(cp0.t, cp1.t);
 
         let value = match cp1.interpolation {
-          Interpolation::Bezier(v) => {
-            Interpolate::cubic_bezier(cp0.value, u, cp1.value + cp1.value - v, cp1.value, nt)
-          }
+          Interpolation::Bezier(v) => V::cubic_bezier_mirrored(nt, cp0.value, u, v, cp1.value),
 
-          Interpolation::StrokeBezier(v, _) => {
-            Interpolate::cubic_bezier(cp0.value, u, v, cp1.value, nt)
-          }
+          Interpolation::StrokeBezier(v, _) => V::cubic_bezier(nt, cp0.value, u, v, cp1.value),
 
-          _ => Interpolate::quadratic_bezier(cp0.value, u, cp1.value, nt),
+          _ => V::quadratic_bezier(nt, cp0.value, u, cp1.value),
         };
 
-        Some((value, cp0, Some(cp1)))
+        Some(value)
       }
+    };
 
-      Interpolation::__NonExhaustive => unreachable!(),
-    }
+    value.map(|value| SampledWithKey { value, key: i })
   }
 
   /// 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: Additive + Interpolate<T>,
+    T: Interpolator,
+    V: Interpolate<T>,
   {
-    self.sample_with_key(t).map(|(v, _, _)| v)
+    self.sample_with_key(t).map(|sampled| sampled.value)
   }
 
   /// Sample a spline at a given time with clamping, returning the interpolated value along with its
@@ -205,10 +207,10 @@ impl<T, V> Spline<T, V> {
   /// # 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>>)>
+  pub fn clamped_sample_with_key(&self, t: T) -> Option<SampledWithKey<V>>
   where
-    T: Additive + One + Trigo + Mul<T, Output = T> + Div<T, Output = T> + PartialOrd,
-    V: Additive + Interpolate<T>,
+    T: Interpolator,
+    V: Interpolate<T>,
   {
     if self.0.is_empty() {
       return None;
@@ -216,18 +218,22 @@ impl<T, V> Spline<T, V> {
 
     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
+        let sampled = SampledWithKey {
+          value: first.value,
+          key: 0,
         };
-        Some((first.value, &first, second))
+        Some(sampled)
       } else {
         let last = self.0.last().unwrap();
 
         if t >= last.t {
-          Some((last.value, &last, None))
+          let sampled = SampledWithKey {
+            value: last.value,
+            key: self.0.len() - 1,
+          };
+          Some(sampled)
         } else {
           None
         }
@@ -238,10 +244,10 @@ 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: Additive + Interpolate<T>,
+    T: Interpolator,
+    V: Interpolate<T>,
   {
-    self.clamped_sample_with_key(t).map(|(v, _, _)| v)
+    self.clamped_sample_with_key(t).map(|sampled| sampled.value)
   }
 
   /// Add a key into the spline.
@@ -295,11 +301,22 @@ impl<T, V> Spline<T, V> {
   }
 }
 
+/// A sampled value along with its key index.
+#[derive(Clone, Debug, Eq, Hash, PartialEq)]
+pub struct SampledWithKey<V> {
+  /// Sampled value.
+  pub value: V,
+
+  /// Key index.
+  pub key: usize,
+}
+
 /// 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`].
+#[derive(Debug)]
 pub struct KeyMut<'a, T, V> {
   /// Carried value.
   pub value: &'a mut V,
@@ -307,48 +324,21 @@ pub struct KeyMut<'a, T, V> {
   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.
+// It has the property to have a timestamp smaller or equal to t
 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
-    }
+  match cps.binary_search_by(|key| key.t.partial_cmp(&t).unwrap()) {
+    Err(i) if i >= len => None,
+    Err(i) if i == 0 => None,
+    Err(i) => Some(i - 1),
+    Ok(i) if i == len - 1 => None,
+    Ok(i) => Some(i),
   }
-
-  Some(i)
 }

tests/cgmath.rs

@@ -0,0 +1,43 @@
+#![cfg(feature = "cgmath")]
+
+use cgmath as cg;
+use splines::{Interpolation, Key, Spline};
+
+#[test]
+fn cgmath_vector_interpolation() {
+  use splines::Interpolate;
+
+  let start = cg::Vector2::new(0.0, 0.0);
+  let mid = cg::Vector2::new(0.5, 0.5);
+  let end = cg::Vector2::new(1.0, 1.0);
+
+  assert_eq!(Interpolate::lerp(0., start, end), start);
+  assert_eq!(Interpolate::lerp(1., start, end), end);
+  assert_eq!(Interpolate::lerp(0.5, start, end), mid);
+}
+
+#[test]
+fn stroke_bezier_straight() {
+  use float_cmp::approx_eq;
+
+  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.));
+}

tests/integ.rs

@@ -1,9 +1,4 @@
-use splines::{Interpolation, Key, Spline};
-
-#[cfg(feature = "cgmath")]
-use cgmath as cg;
-#[cfg(feature = "nalgebra")]
-use nalgebra as na;
+use splines::{spline::SampledWithKey, Interpolation, Key, Spline};
 
 #[test]
 fn step_interpolation_f32() {
@@ -18,8 +13,14 @@ fn step_interpolation_f32() {
   assert_eq!(spline.sample(0.9), Some(10.));
   assert_eq!(spline.sample(1.), None);
   assert_eq!(spline.clamped_sample(1.), Some(10.));
-  assert_eq!(spline.sample_with_key(0.2), Some((10., &start, Some(&end))));
-  assert_eq!(spline.clamped_sample_with_key(1.), Some((10., &end, None)));
+  assert_eq!(
+    spline.sample_with_key(0.2),
+    Some(SampledWithKey { value: 10., key: 0 })
+  );
+  assert_eq!(
+    spline.clamped_sample_with_key(1.),
+    Some(SampledWithKey { value: 10., key: 1 })
+  );
 }
 
 #[test]
@@ -35,8 +36,14 @@ fn step_interpolation_f64() {
   assert_eq!(spline.sample(0.9), Some(10.));
   assert_eq!(spline.sample(1.), None);
   assert_eq!(spline.clamped_sample(1.), Some(10.));
-  assert_eq!(spline.sample_with_key(0.2), Some((10., &start, Some(&end))));
-  assert_eq!(spline.clamped_sample_with_key(1.), Some((10., &end, None)));
+  assert_eq!(
+    spline.sample_with_key(0.2),
+    Some(SampledWithKey { value: 10., key: 0 })
+  );
+  assert_eq!(
+    spline.clamped_sample_with_key(1.),
+    Some(SampledWithKey { value: 10., key: 1 })
+  );
 }
 
 #[test]
@@ -151,61 +158,6 @@ fn several_interpolations_several_keys() {
   assert_eq!(spline.clamped_sample(11.), Some(4.));
 }
 
-#[cfg(feature = "cgmath")]
-#[test]
-fn stroke_bezier_straight() {
-  use float_cmp::approx_eq;
-
-  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;
-
-  let start = cg::Vector2::new(0.0, 0.0);
-  let mid = cg::Vector2::new(0.5, 0.5);
-  let end = cg::Vector2::new(1.0, 1.0);
-
-  assert_eq!(Interpolate::lerp(start, end, 0.0), start);
-  assert_eq!(Interpolate::lerp(start, end, 1.0), end);
-  assert_eq!(Interpolate::lerp(start, end, 0.5), mid);
-}
-
-#[cfg(feature = "nalgebra")]
-#[test]
-fn nalgebra_vector_interpolation() {
-  use splines::Interpolate;
-
-  let start = na::Vector2::new(0.0, 0.0);
-  let mid = na::Vector2::new(0.5, 0.5);
-  let end = na::Vector2::new(1.0, 1.0);
-
-  assert_eq!(Interpolate::lerp(start, end, 0.0), start);
-  assert_eq!(Interpolate::lerp(start, end, 1.0), end);
-  assert_eq!(Interpolate::lerp(start, end, 0.5), mid);
-}
-
 #[test]
 fn add_key_empty() {
   let mut spline: Spline<f32, f32> = Spline::from_vec(vec![]);

tests/nalgebra.rs

@@ -0,0 +1,16 @@
+#![cfg(feature = "nalgebra")]
+
+use nalgebra as na;
+
+#[test]
+fn nalgebra_vector_interpolation() {
+  use splines::Interpolate;
+
+  let start = na::Vector2::new(0.0, 0.0);
+  let mid = na::Vector2::new(0.5, 0.5);
+  let end = na::Vector2::new(1.0, 1.0);
+
+  assert_eq!(Interpolate::lerp(0., start, end), start);
+  assert_eq!(Interpolate::lerp(1., start, end), end);
+  assert_eq!(Interpolate::lerp(0.5, start, end), mid);
+}