Merge pull request #27 from phaazon/feature/extra-splines
Feature/extra splines
This commit is contained in:
commit
54eb89ae96
24
.github/workflows/ci.yaml
vendored
24
.github/workflows/ci.yaml
vendored
@ -7,27 +7,39 @@ jobs:
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steps:
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steps:
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- uses: actions/checkout@v1
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- uses: actions/checkout@v1
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- name: Build
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- name: Build
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run: cargo build --verbose
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run: |
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cargo build --verbose
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cargo build --verbose --features bezier
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- name: Test
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- name: Test
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run: cargo test --verbose
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run: |
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cargo test --verbose
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cargo test --verbose --features bezier
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build-windows:
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build-windows:
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runs-on: windows-latest
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runs-on: windows-latest
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steps:
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steps:
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- uses: actions/checkout@v1
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- uses: actions/checkout@v1
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- name: Build
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- name: Build
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run: cargo build --verbose
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run: |
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cargo build --verbose
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cargo build --verbose --features bezier
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- name: Test
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- name: Test
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run: cargo test --verbose
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run: |
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cargo test --verbose
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cargo test --verbose --features bezier
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build-macosx:
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build-macosx:
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runs-on: macosx-latest
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runs-on: macosx-latest
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steps:
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steps:
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- uses: actions/checkout@v1
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- uses: actions/checkout@v1
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- name: Build
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- name: Build
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run: cargo build --verbose
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run: |
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cargo build --verbose
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cargo build --verbose --features bezier
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- name: Test
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- name: Test
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run: cargo test --verbose
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run: |
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cargo test --verbose
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cargo test --verbose --features bezier
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check-readme:
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check-readme:
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runs-on: ubuntu-latest
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runs-on: ubuntu-latest
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@ -1,6 +1,6 @@
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[package]
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[package]
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name = "splines"
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name = "splines"
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version = "1.0.0"
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version = "1.1.0"
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license = "BSD-3-Clause"
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license = "BSD-3-Clause"
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authors = ["Dimitri Sabadie <dimitri.sabadie@gmail.com>"]
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authors = ["Dimitri Sabadie <dimitri.sabadie@gmail.com>"]
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description = "Spline interpolation made easy"
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description = "Spline interpolation made easy"
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@ -21,6 +21,7 @@ maintenance = { status = "actively-developed" }
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[features]
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[features]
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default = ["std"]
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default = ["std"]
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bezier = []
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impl-cgmath = ["cgmath"]
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impl-cgmath = ["cgmath"]
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impl-nalgebra = ["alga", "nalgebra", "num-traits"]
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impl-nalgebra = ["alga", "nalgebra", "num-traits"]
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serialization = ["serde", "serde_derive"]
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serialization = ["serde", "serde_derive"]
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28
README.md
28
README.md
@ -84,19 +84,27 @@ not. It’s especially important to see how it copes with the documentation.
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So here’s a list of currently supported features and how to enable them:
|
So here’s a list of currently supported features and how to enable them:
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||||||
|
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||||||
- **Serialization / deserialization.**
|
- **Serialization / deserialization.**
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+ This feature implements both the `Serialize` and `Deserialize` traits from `serde` for all
|
- This feature implements both the `Serialize` and `Deserialize` traits from `serde` for all
|
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types exported by this crate.
|
types exported by this crate.
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+ Enable with the `"serialization"` feature.
|
- Enable with the `"serialization"` feature.
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||||||
- **[cgmath](https://crates.io/crates/cgmath) implementors.**
|
- **[cgmath](https://crates.io/crates/cgmath) implementors.**
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||||||
+ Adds some useful implementations of `Interpolate` for some cgmath types.
|
- Adds some useful implementations of `Interpolate` for some cgmath types.
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||||||
+ Enable with the `"impl-cgmath"` feature.
|
- Enable with the `"impl-cgmath"` feature.
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||||||
- **[nalgebra](https://crates.io/crates/nalgebra) implementors.**
|
- **[nalgebra](https://crates.io/crates/nalgebra) implementors.**
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+ Adds some useful implementations of `Interpolate` for some nalgebra types.
|
- Adds some useful implementations of `Interpolate` for some nalgebra types.
|
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+ Enable with the `"impl-nalgebra"` feature.
|
- Enable with the `"impl-nalgebra"` feature.
|
||||||
- **Standard library / no standard library.**
|
- **Standard library / no standard library.**
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+ It’s possible to compile against the standard library or go on your own without it.
|
- It’s possible to compile against the standard library or go on your own without it.
|
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+ Compiling with the standard library is enabled by default.
|
- Compiling with the standard library is enabled by default.
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||||||
+ Use `default-features = []` in your `Cargo.toml` to disable.
|
- Use `default-features = []` in your `Cargo.toml` to disable.
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||||||
+ Enable explicitly with the `"std"` feature.
|
- Enable explicitly with the `"std"` feature.
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||||||
|
- **Extra interpolation modes.**
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||||||
|
- In order not to introduce breaking changes, some feature-gates are added to augment the
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|
[`Interpolation`] enum.
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|
- Those feature-gates will disappear on the next major release of the crate.
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||||||
|
- The following lists all currently available:
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||||||
|
- `"bezier"`: [Bézier curves](https://en.wikipedia.org/wiki/B%C3%A9zier_curve).
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[`Interpolation`]: crate::interpolation::Interpolation
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<!-- cargo-sync-readme end -->
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<!-- cargo-sync-readme end -->
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@ -57,6 +57,12 @@ pub trait Interpolate<T>: Sized + Copy {
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fn cubic_hermite(_: (Self, T), a: (Self, T), b: (Self, T), _: (Self, T), t: T) -> Self {
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fn cubic_hermite(_: (Self, T), a: (Self, T), b: (Self, T), _: (Self, T), t: T) -> Self {
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Self::lerp(a.0, b.0, t)
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Self::lerp(a.0, b.0, t)
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}
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}
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/// Quadratic Bézier interpolation.
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fn quadratic_bezier(a: Self, u: Self, b: Self, t: T) -> Self;
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/// Cubic Bézier interpolation.
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fn cubic_bezier(a: Self, u: Self, v: Self, b: Self, t: T) -> Self;
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}
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}
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/// Set of types that support additions and subtraction.
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/// Set of types that support additions and subtraction.
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@ -212,6 +218,31 @@ where V: Linear<T>,
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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)
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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)
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}
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}
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/// Default implementation of [`Interpolate::quadratic_bezier`].
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///
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/// `V` is the value being interpolated. `T` is the sampling value (also sometimes called time).
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pub fn quadratic_bezier_def<V, T>(a: V, u: V, b: V, t: T) -> V
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where V: Linear<T>,
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T: Additive + Mul<T, Output = T> + One {
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let one_t = T::one() - t;
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let one_t_2 = one_t * one_t;
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u + (a - u).outer_mul(one_t_2) + (b - u).outer_mul(t * t)
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}
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/// Default implementation of [`Interpolate::cubic_bezier`].
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///
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/// `V` is the value being interpolated. `T` is the sampling value (also sometimes called time).
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pub fn cubic_bezier_def<V, T>(a: V, u: V, v: V, b: V, t: T) -> V
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where V: Linear<T>,
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T: Additive + Mul<T, Output = T> + One {
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let one_t = T::one() - t;
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let one_t_2 = one_t * one_t;
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let one_t_3 = one_t_2 * one_t;
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let three = T::one() + T::one() + T::one();
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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)
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}
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macro_rules! impl_interpolate_simple {
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macro_rules! impl_interpolate_simple {
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($t:ty) => {
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($t:ty) => {
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impl Interpolate<$t> for $t {
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impl Interpolate<$t> for $t {
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@ -222,6 +253,14 @@ macro_rules! impl_interpolate_simple {
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fn cubic_hermite(x: (Self, $t), a: (Self, $t), b: (Self, $t), y: (Self, $t), t: $t) -> Self {
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fn cubic_hermite(x: (Self, $t), a: (Self, $t), b: (Self, $t), y: (Self, $t), t: $t) -> Self {
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cubic_hermite_def(x, a, b, y, t)
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cubic_hermite_def(x, a, b, y, t)
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}
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}
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fn quadratic_bezier(a: Self, u: Self, b: Self, t: $t) -> Self {
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quadratic_bezier_def(a, u, b, t)
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}
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fn cubic_bezier(a: Self, u: Self, v: Self, b: Self, t: $t) -> Self {
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cubic_bezier_def(a, u, v, b, t)
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}
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}
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}
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}
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}
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}
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}
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@ -229,19 +268,27 @@ macro_rules! impl_interpolate_simple {
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impl_interpolate_simple!(f32);
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impl_interpolate_simple!(f32);
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impl_interpolate_simple!(f64);
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impl_interpolate_simple!(f64);
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macro_rules! impl_interpolate_via {
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//macro_rules! impl_interpolate_via {
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($t:ty, $v:ty) => {
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// ($t:ty, $v:ty) => {
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impl Interpolate<$t> for $v {
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// impl Interpolate<$t> for $v {
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fn lerp(a: Self, b: Self, t: $t) -> Self {
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// fn lerp(a: Self, b: Self, t: $t) -> Self {
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a * (1. - t as $v) + b * t as $v
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// a * (1. - t as $v) + b * t as $v
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}
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// }
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//
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fn cubic_hermite((x, xt): (Self, $t), (a, at): (Self, $t), (b, bt): (Self, $t), (y, yt): (Self, $t), t: $t) -> Self {
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// fn cubic_hermite((x, xt): (Self, $t), (a, at): (Self, $t), (b, bt): (Self, $t), (y, yt): (Self, $t), t: $t) -> Self {
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cubic_hermite_def((x, xt as $v), (a, at as $v), (b, bt as $v), (y, yt as $v), t as $v)
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// cubic_hermite_def((x, xt as $v), (a, at as $v), (b, bt as $v), (y, yt as $v), t as $v)
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}
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// }
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}
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//
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}
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// fn quadratic_bezier(a: Self, u: Self, b: Self, t: $t) -> Self {
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}
|
// $t::quadratic_bezier(a as $t, u as $t, b as $t, t)
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|
// }
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impl_interpolate_via!(f32, f64);
|
//
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impl_interpolate_via!(f64, f32);
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// fn cubic_bezier(a: Self, u: Self, v: Self, b: Self, t: $t) -> Self {
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// $t::cubic_bezier(a as $t, u as $t, v as $t, b as $t, t)
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|
// }
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|
// }
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|
// }
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//}
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|
//
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|
//impl_interpolate_via!(f32, f64);
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|
//impl_interpolate_via!(f64, f32);
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|
@ -8,7 +8,7 @@
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#[derive(Copy, Clone, Debug, Eq, PartialEq)]
|
#[derive(Copy, Clone, Debug, Eq, PartialEq)]
|
||||||
#[cfg_attr(feature = "serialization", derive(Deserialize, Serialize))]
|
#[cfg_attr(feature = "serialization", derive(Deserialize, Serialize))]
|
||||||
#[cfg_attr(feature = "serialization", serde(rename_all = "snake_case"))]
|
#[cfg_attr(feature = "serialization", serde(rename_all = "snake_case"))]
|
||||||
pub enum Interpolation<T> {
|
pub enum Interpolation<T, V> {
|
||||||
/// Hold a [`Key<T, _>`] until the sampling value passes the normalized step threshold, in which
|
/// Hold a [`Key<T, _>`] until the sampling value passes the normalized step threshold, in which
|
||||||
/// case the next key is used.
|
/// case the next key is used.
|
||||||
///
|
///
|
||||||
@ -24,10 +24,29 @@ pub enum Interpolation<T> {
|
|||||||
/// Cosine interpolation between a key and the next one.
|
/// Cosine interpolation between a key and the next one.
|
||||||
Cosine,
|
Cosine,
|
||||||
/// Catmull-Rom interpolation, performing a cubic Hermite interpolation using four keys.
|
/// Catmull-Rom interpolation, performing a cubic Hermite interpolation using four keys.
|
||||||
CatmullRom
|
CatmullRom,
|
||||||
|
/// Bézier interpolation.
|
||||||
|
///
|
||||||
|
/// A control point that uses such an interpolation is associated with an extra point. The segmant
|
||||||
|
/// connecting both is called the _tangent_ of this point. The part of the spline defined between
|
||||||
|
/// this control point and the next one will be interpolated across with Bézier interpolation. Two
|
||||||
|
/// cases are possible:
|
||||||
|
///
|
||||||
|
/// - The next control point also has a Bézier interpolation mode. In this case, its tangent is
|
||||||
|
/// used for the interpolation process. This is called _cubic Bézier interpolation_ and it
|
||||||
|
/// kicks ass.
|
||||||
|
/// - The next control point doesn’t have a Bézier interpolation mode set. In this case, the
|
||||||
|
/// tangent used for the next control point is defined as the segment connecting that control
|
||||||
|
/// 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.
|
||||||
|
#[cfg(feature = "bezier")]
|
||||||
|
Bezier(V),
|
||||||
|
#[cfg(not(any(feature = "bezier")))]
|
||||||
|
#[doc(hidden)]
|
||||||
|
_V(std::marker::PhantomData<V>),
|
||||||
}
|
}
|
||||||
|
|
||||||
impl<T> Default for Interpolation<T> {
|
impl<T, V> Default for Interpolation<T, V> {
|
||||||
/// [`Interpolation::Linear`] is the default.
|
/// [`Interpolation::Linear`] is the default.
|
||||||
fn default() -> Self {
|
fn default() -> Self {
|
||||||
Interpolation::Linear
|
Interpolation::Linear
|
||||||
|
@ -26,12 +26,12 @@ pub struct Key<T, V> {
|
|||||||
/// Carried value.
|
/// Carried value.
|
||||||
pub value: V,
|
pub value: V,
|
||||||
/// Interpolation mode.
|
/// Interpolation mode.
|
||||||
pub interpolation: Interpolation<T>
|
pub interpolation: Interpolation<T, V>
|
||||||
}
|
}
|
||||||
|
|
||||||
impl<T, V> Key<T, V> {
|
impl<T, V> Key<T, V> {
|
||||||
/// Create a new key.
|
/// Create a new key.
|
||||||
pub fn new(t: T, value: V, interpolation: Interpolation<T>) -> Self {
|
pub fn new(t: T, value: V, interpolation: Interpolation<T, V>) -> Self {
|
||||||
Key { t, value, interpolation }
|
Key { t, value, interpolation }
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
28
src/lib.rs
28
src/lib.rs
@ -85,20 +85,28 @@
|
|||||||
//! So here’s a list of currently supported features and how to enable them:
|
//! So here’s a list of currently supported features and how to enable them:
|
||||||
//!
|
//!
|
||||||
//! - **Serialization / deserialization.**
|
//! - **Serialization / deserialization.**
|
||||||
//! + This feature implements both the `Serialize` and `Deserialize` traits from `serde` for all
|
//! - This feature implements both the `Serialize` and `Deserialize` traits from `serde` for all
|
||||||
//! types exported by this crate.
|
//! types exported by this crate.
|
||||||
//! + Enable with the `"serialization"` feature.
|
//! - Enable with the `"serialization"` feature.
|
||||||
//! - **[cgmath](https://crates.io/crates/cgmath) implementors.**
|
//! - **[cgmath](https://crates.io/crates/cgmath) implementors.**
|
||||||
//! + Adds some useful implementations of `Interpolate` for some cgmath types.
|
//! - Adds some useful implementations of `Interpolate` for some cgmath types.
|
||||||
//! + Enable with the `"impl-cgmath"` feature.
|
//! - Enable with the `"impl-cgmath"` feature.
|
||||||
//! - **[nalgebra](https://crates.io/crates/nalgebra) implementors.**
|
//! - **[nalgebra](https://crates.io/crates/nalgebra) implementors.**
|
||||||
//! + Adds some useful implementations of `Interpolate` for some nalgebra types.
|
//! - Adds some useful implementations of `Interpolate` for some nalgebra types.
|
||||||
//! + Enable with the `"impl-nalgebra"` feature.
|
//! - Enable with the `"impl-nalgebra"` feature.
|
||||||
//! - **Standard library / no standard library.**
|
//! - **Standard library / no standard library.**
|
||||||
//! + It’s possible to compile against the standard library or go on your own without it.
|
//! - 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.
|
//! - Compiling with the standard library is enabled by default.
|
||||||
//! + Use `default-features = []` in your `Cargo.toml` to disable.
|
//! - Use `default-features = []` in your `Cargo.toml` to disable.
|
||||||
//! + Enable explicitly with the `"std"` feature.
|
//! - Enable explicitly with the `"std"` feature.
|
||||||
|
//! - **Extra interpolation modes.**
|
||||||
|
//! - In order not to introduce breaking changes, some feature-gates are added to augment the
|
||||||
|
//! [`Interpolation`] enum.
|
||||||
|
//! - Those feature-gates will disappear on the next major release of the crate.
|
||||||
|
//! - The following lists all currently available:
|
||||||
|
//! - `"bezier"`: [Bézier curves](https://en.wikipedia.org/wiki/B%C3%A9zier_curve).
|
||||||
|
//!
|
||||||
|
//! [`Interpolation`]: crate::interpolation::Interpolation
|
||||||
|
|
||||||
#![cfg_attr(not(feature = "std"), no_std)]
|
#![cfg_attr(not(feature = "std"), no_std)]
|
||||||
#![cfg_attr(not(feature = "std"), feature(alloc))]
|
#![cfg_attr(not(feature = "std"), feature(alloc))]
|
||||||
|
@ -93,13 +93,13 @@ impl<T, V> Spline<T, V> {
|
|||||||
|
|
||||||
match cp0.interpolation {
|
match cp0.interpolation {
|
||||||
Interpolation::Step(threshold) => {
|
Interpolation::Step(threshold) => {
|
||||||
let cp1 = &keys[i+1];
|
let cp1 = &keys[i + 1];
|
||||||
let nt = normalize_time(t, cp0, cp1);
|
let nt = normalize_time(t, cp0, cp1);
|
||||||
Some(if nt < threshold { cp0.value } else { cp1.value })
|
Some(if nt < threshold { cp0.value } else { cp1.value })
|
||||||
}
|
}
|
||||||
|
|
||||||
Interpolation::Linear => {
|
Interpolation::Linear => {
|
||||||
let cp1 = &keys[i+1];
|
let cp1 = &keys[i + 1];
|
||||||
let nt = normalize_time(t, cp0, cp1);
|
let nt = normalize_time(t, cp0, cp1);
|
||||||
|
|
||||||
Some(Interpolate::lerp(cp0.value, cp1.value, nt))
|
Some(Interpolate::lerp(cp0.value, cp1.value, nt))
|
||||||
@ -107,7 +107,7 @@ impl<T, V> Spline<T, V> {
|
|||||||
|
|
||||||
Interpolation::Cosine => {
|
Interpolation::Cosine => {
|
||||||
let two_t = T::one() + T::one();
|
let two_t = T::one() + T::one();
|
||||||
let cp1 = &keys[i+1];
|
let cp1 = &keys[i + 1];
|
||||||
let nt = normalize_time(t, cp0, cp1);
|
let nt = normalize_time(t, cp0, cp1);
|
||||||
let cos_nt = (T::one() - (nt * T::pi()).cos()) / two_t;
|
let cos_nt = (T::one() - (nt * T::pi()).cos()) / two_t;
|
||||||
|
|
||||||
@ -120,14 +120,35 @@ impl<T, V> Spline<T, V> {
|
|||||||
if i == 0 || i >= keys.len() - 2 {
|
if i == 0 || i >= keys.len() - 2 {
|
||||||
None
|
None
|
||||||
} else {
|
} else {
|
||||||
let cp1 = &keys[i+1];
|
let cp1 = &keys[i + 1];
|
||||||
let cpm0 = &keys[i-1];
|
let cpm0 = &keys[i - 1];
|
||||||
let cpm1 = &keys[i+2];
|
let cpm1 = &keys[i + 2];
|
||||||
let nt = normalize_time(t, cp0, cp1);
|
let nt = normalize_time(t, cp0, cp1);
|
||||||
|
|
||||||
Some(Interpolate::cubic_hermite((cpm0.value, cpm0.t), (cp0.value, cp0.t), (cp1.value, cp1.t), (cpm1.value, cpm1.t), nt))
|
Some(Interpolate::cubic_hermite((cpm0.value, cpm0.t), (cp0.value, cp0.t), (cp1.value, cp1.t), (cpm1.value, cpm1.t), nt))
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
|
#[cfg(feature = "bezier")]
|
||||||
|
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);
|
||||||
|
|
||||||
|
if let Interpolation::Bezier(v) = cp1.interpolation {
|
||||||
|
Some(Interpolate::cubic_bezier(cp0.value, u, v, cp1.value, nt))
|
||||||
|
//let one_nt = T::one() - nt;
|
||||||
|
//let one_nt_2 = one_nt * one_nt;
|
||||||
|
//let one_nt_3 = one_nt_2 * one_nt;
|
||||||
|
//let three_one_nt_2 = one_nt_2 + one_nt_2 + one_nt_2; // one_nt_2 * 3
|
||||||
|
//let r = cp0.value * one_nt_3;
|
||||||
|
} else {
|
||||||
|
Some(Interpolate::quadratic_bezier(cp0.value, u, cp1.value, nt))
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
#[cfg(not(any(feature = "bezier")))]
|
||||||
|
Interpolation::_V(_) => unreachable!()
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
|
Loading…
Reference in New Issue
Block a user