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successfully implemented Interpolate for all Point types. Vectors require an implementation for Matrix, which is proving trickier

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This commit is contained in:
nsmryan 2018-09-30 10:11:35 -04:00
parent 204b22aa0b
commit 2912848397
2 changed files with 32 additions and 9 deletions
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2
Cargo.toml
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@ -25,7 +25,7 @@ impl-cgmath = ["cgmath"]
impl-nalgebra = ["nalgebra"]
[dependencies.nalgebra]
version = "0.16"
version = "0.14"
optional = true
[dependencies.cgmath]

39
src/lib.rs
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@ -83,10 +83,13 @@
//! - **[cgmath](https://crates.io/crates/cgmath) implementors.**
//! + Adds some usefull implementations of `Interpolate` for some cgmath types.
//! + Enable with the `"impl-cgmath"` feature.
//! - **Standard library / no stdandard library.**
//! - **[nalgebra](https://crates.io/crates/nalgebra) implementors.**
//! + Adds some usefull implementations of `Interpolate` for some nalgebra types.
//! + Enable with the `"impl-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.
//! + Use `defaut-features = []` in your `Cargo.toml` to disable.
//! + Use `default-features = []` in your `Cargo.toml` to disable.
//! + Enable explicitly with the `"std"` feataure.
#![cfg_attr(not(feature = "std"), no_std)]
@ -105,7 +108,11 @@
#[cfg(feature = "impl-cgmath")] use cgmath::{InnerSpace, Quaternion, Vector2, Vector3, Vector4};
#[cfg(feature = "impl-nalgebra")] use nalgera::{Point, Vector};
#[cfg(feature = "impl-nalgebra")] use nalgebra as na;
#[cfg(feature = "impl-nalgebra")] use nalgebra::Matrix;
#[cfg(feature = "impl-nalgebra")] use nalgebra::core::allocator::Allocator;
#[cfg(feature = "impl-nalgebra")] use nalgebra::core::{DimName, DefaultAllocator, Scalar};
#[cfg(feature = "impl-nalgebra")] use nalgebra::storage::Storage;
#[cfg(feature = "std")] use std::cmp::Ordering;
#[cfg(feature = "std")] use std::f32::consts;
@ -390,16 +397,32 @@ impl Interpolate for Quaternion<f32> {
}
#[cfg(feature = "impl-nalgebra")]
impl<T : Interpolate > Interpolate for Point<T> {
impl<N : Scalar, D : DimName> Interpolate for na::Point<N, D>
where DefaultAllocator : Allocator<N, D>,
<DefaultAllocator as Allocator<N, D>>::Buffer: Copy,
N : Interpolate,
{
fn lerp(a: Self, b: Self, t: f32) -> Self {
a.lerp(b, t)
let lerp = |c1 : N, c2 : N| { Interpolate::lerp(c1, c2, t) };
let coords = Matrix::zip_map(&a.coords, &b.coords, lerp);
na::Point::from_coordinates(coords)
}
}
#[cfg(feature = "impl-nalgebra")]
impl<T : Interpolate > Interpolate for Vector<T> {
fn lerp(a: Self, b: Self, t: f32) -> Self {
a.lerp(b, t)
impl<N, R, C> Interpolate for na::Matrix<N, R, C, <DefaultAllocator as Allocator<N, R, C>>::Buffer>
where N : Interpolate,
N : Scalar,
R : DimName,
C : DimName,
<R as na::DimName>::Value : Mul<<C as na::DimName>::Value>,
<C as na::DimName>::Value : Mul<<R as na::DimName>::Value>,
<<R as na::DimName>::Value as Mul<<C as na::DimName>::Value>>::Output : generic_array::ArrayLengh<N>
{
fn lerp(a: Self, b: Self, t: f32) -> Self
{
let lerp = |c1 : N, c2 : N| Interpolate::lerp(c1, c2, t);
Matrix::zip_map(&a, &b, lerp)
}
}