Updated to latest rust master

This commit is contained in:
Connorcpu 2015-01-03 13:48:10 -08:00
parent cc2a9c29c5
commit a18a53b82e
22 changed files with 66 additions and 39 deletions

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@ -6,6 +6,7 @@ extern crate "nalgebra" as na;
use std::rand::{IsaacRng, Rng};
use test::Bencher;
use na::{Vec2, Vec3, Vec4, Mat2, Mat3, Mat4};
use std::ops::{Add, Sub, Mul, Div};
#[path="common/macros.rs"]
mod macros;

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@ -6,6 +6,7 @@ extern crate "nalgebra" as na;
use std::rand::{IsaacRng, Rng};
use test::Bencher;
use na::{Quat, UnitQuat, Vec3};
use std::ops::{Add, Sub, Mul, Div};
#[path="common/macros.rs"]
mod macros;

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@ -6,6 +6,7 @@ extern crate "nalgebra" as na;
use std::rand::{IsaacRng, Rng};
use test::Bencher;
use na::{Vec2, Vec3, Vec4};
use std::ops::{Add, Sub, Mul, Div};
#[path="common/macros.rs"]
mod macros;

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@ -84,6 +84,7 @@ Feel free to add your project to this list if you happen to use **nalgebra**!
#![warn(missing_docs)]
#![feature(macro_rules)]
#![feature(globs)]
#![feature(old_orphan_check)]
#![doc(html_root_url = "http://nalgebra.org/doc")]
extern crate "rustc-serialize" as rustc_serialize;
@ -92,6 +93,7 @@ extern crate "rustc-serialize" as rustc_serialize;
extern crate test;
use std::cmp;
use std::ops::*;
pub use traits::{
Absolute,
AbsoluteRotate,

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@ -2,6 +2,7 @@ use traits::operations::{Transpose, ApproxEq};
use traits::structure::{ColSlice, Eye, Indexable, Diag, SquareMat, BaseFloat};
use traits::geometry::Norm;
use std::cmp::min;
use std::ops::*;
/// Get the householder matrix corresponding to a reflexion to the hyperplane
/// defined by `vec`. It can be a reflexion contained in a subspace.

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@ -6,6 +6,7 @@ use std::cmp;
use std::iter::repeat;
use std::rand::Rand;
use std::rand;
use std::ops::*;
use traits::operations::ApproxEq;
use std::mem;
use structs::dvec::DVec;
@ -15,7 +16,7 @@ use std::fmt::{Show, Formatter, Result};
/// Matrix with dimensions unknown at compile-time.
#[deriving(Eq, PartialEq, Clone)]
#[derive(Eq, PartialEq, Clone)]
pub struct DMat<N> {
nrows: uint,
ncols: uint,

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@ -7,12 +7,13 @@ use std::rand;
use std::slice::{Iter, IterMut};
use std::iter::FromIterator;
use std::iter::repeat;
use std::ops::*;
use traits::operations::{ApproxEq, Axpy};
use traits::geometry::{Dot, Norm};
use traits::structure::{Iterable, IterableMut, Indexable, Shape, BaseFloat, BaseNum, Zero, One};
/// Heap allocated, dynamically sized vector.
#[deriving(Eq, PartialEq, Show, Clone)]
#[derive(Eq, PartialEq, Show, Clone)]
pub struct DVec<N> {
/// Components of the vector. Contains as much elements as the vector dimension.
pub at: Vec<N>

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@ -2,6 +2,8 @@
#![allow(missing_docs)]
use std::ops::*;
use std::rand::{Rand, Rng};
use structs::mat::{Mat3, Mat4, Mat5};
use traits::structure::{Cast, Dim, Col, BaseFloat, BaseNum, One};
@ -18,7 +20,7 @@ use structs::rot::{Rot2, Rot3, Rot4};
///
/// This is the composition of a rotation followed by a translation.
/// Isometries conserve angles and distances, hence do not allow shearing nor scaling.
#[deriving(Eq, PartialEq, RustcEncodable, RustcDecodable, Clone, Show, Copy)]
#[derive(Eq, PartialEq, RustcEncodable, RustcDecodable, Clone, Show, Copy)]
pub struct Iso2<N> {
/// The rotation applicable by this isometry.
pub rotation: Rot2<N>,
@ -30,7 +32,7 @@ pub struct Iso2<N> {
///
/// This is the composition of a rotation followed by a translation.
/// Isometries conserve angles and distances, hence do not allow shearing nor scaling.
#[deriving(Eq, PartialEq, RustcEncodable, RustcDecodable, Clone, Show, Copy)]
#[derive(Eq, PartialEq, RustcEncodable, RustcDecodable, Clone, Show, Copy)]
pub struct Iso3<N> {
/// The rotation applicable by this isometry.
pub rotation: Rot3<N>,
@ -41,7 +43,7 @@ pub struct Iso3<N> {
/// Four dimensional isometry.
///
/// Isometries conserve angles and distances, hence do not allow shearing nor scaling.
#[deriving(Eq, PartialEq, RustcEncodable, RustcDecodable, Clone, Show, Copy)]
#[derive(Eq, PartialEq, RustcEncodable, RustcDecodable, Clone, Show, Copy)]
pub struct Iso4<N> {
/// The rotation applicable by this isometry.
pub rotation: Rot4<N>,

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@ -2,6 +2,8 @@
#![allow(missing_docs)] // we allow missing to avoid having to document the mij components.
use std::ops::*;
use std::mem;
use traits::operations::ApproxEq;
use std::slice::{Iter, IterMut};
@ -17,7 +19,7 @@ use linalg;
/// Special identity matrix. All its operation are no-ops.
#[deriving(Eq, PartialEq, RustcDecodable, Clone, Rand, Show, Copy)]
#[derive(Eq, PartialEq, RustcDecodable, Clone, Rand, Show, Copy)]
pub struct Identity;
impl Identity {
@ -29,7 +31,7 @@ impl Identity {
}
/// Square matrix of dimension 1.
#[deriving(Eq, PartialEq, RustcEncodable, RustcDecodable, Clone, Hash, Rand, Show, Copy)]
#[derive(Eq, PartialEq, RustcEncodable, RustcDecodable, Clone, Hash, Rand, Show, Copy)]
pub struct Mat1<N> {
pub m11: N
}
@ -73,7 +75,7 @@ outer_impl!(Vec1, Mat1);
eigen_qr_impl!(Mat1, Vec1);
/// Square matrix of dimension 2.
#[deriving(Eq, PartialEq, RustcEncodable, RustcDecodable, Clone, Hash, Rand, Show, Copy)]
#[derive(Eq, PartialEq, RustcEncodable, RustcDecodable, Clone, Hash, Rand, Show, Copy)]
pub struct Mat2<N> {
pub m11: N, pub m21: N,
pub m12: N, pub m22: N
@ -121,7 +123,7 @@ outer_impl!(Vec2, Mat2);
eigen_qr_impl!(Mat2, Vec2);
/// Square matrix of dimension 3.
#[deriving(Eq, PartialEq, RustcEncodable, RustcDecodable, Clone, Hash, Rand, Show, Copy)]
#[derive(Eq, PartialEq, RustcEncodable, RustcDecodable, Clone, Hash, Rand, Show, Copy)]
pub struct Mat3<N> {
pub m11: N, pub m21: N, pub m31: N,
pub m12: N, pub m22: N, pub m32: N,
@ -203,7 +205,7 @@ outer_impl!(Vec3, Mat3);
eigen_qr_impl!(Mat3, Vec3);
/// Square matrix of dimension 4.
#[deriving(Eq, PartialEq, RustcEncodable, RustcDecodable, Clone, Hash, Rand, Show, Copy)]
#[derive(Eq, PartialEq, RustcEncodable, RustcDecodable, Clone, Hash, Rand, Show, Copy)]
pub struct Mat4<N> {
pub m11: N, pub m21: N, pub m31: N, pub m41: N,
pub m12: N, pub m22: N, pub m32: N, pub m42: N,
@ -303,7 +305,7 @@ outer_impl!(Vec4, Mat4);
eigen_qr_impl!(Mat4, Vec4);
/// Square matrix of dimension 5.
#[deriving(Eq, PartialEq, RustcEncodable, RustcDecodable, Clone, Hash, Rand, Show, Copy)]
#[derive(Eq, PartialEq, RustcEncodable, RustcDecodable, Clone, Hash, Rand, Show, Copy)]
pub struct Mat5<N> {
pub m11: N, pub m21: N, pub m31: N, pub m41: N, pub m51: N,
pub m12: N, pub m22: N, pub m32: N, pub m42: N, pub m52: N,
@ -417,7 +419,7 @@ outer_impl!(Vec5, Mat5);
eigen_qr_impl!(Mat5, Vec5);
/// Square matrix of dimension 6.
#[deriving(Eq, PartialEq, RustcEncodable, RustcDecodable, Clone, Hash, Rand, Show, Copy)]
#[derive(Eq, PartialEq, RustcEncodable, RustcDecodable, Clone, Hash, Rand, Show, Copy)]
pub struct Mat6<N> {
pub m11: N, pub m21: N, pub m31: N, pub m41: N, pub m51: N, pub m61: N,
pub m12: N, pub m22: N, pub m32: N, pub m42: N, pub m52: N, pub m62: N,

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@ -5,7 +5,7 @@ use structs::{Pnt3, Vec3, Mat4};
/// A 3D orthographic projection stored without any matrix.
///
/// Reading or modifying its individual properties is cheap but applying the transformation is costly.
#[deriving(Eq, PartialEq, RustcEncodable, RustcDecodable, Clone, Show, Copy)]
#[derive(Eq, PartialEq, RustcEncodable, RustcDecodable, Clone, Show, Copy)]
pub struct Ortho3<N> {
width: N,
height: N,
@ -16,7 +16,7 @@ pub struct Ortho3<N> {
/// A 3D orthographic projection stored as a 4D matrix.
///
/// Reading or modifying its individual properties is costly but applying the transformation is cheap.
#[deriving(Eq, PartialEq, RustcEncodable, RustcDecodable, Clone, Show, Copy)]
#[derive(Eq, PartialEq, RustcEncodable, RustcDecodable, Clone, Show, Copy)]
pub struct OrthoMat3<N> {
mat: Mat4<N>
}

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@ -4,7 +4,7 @@ use structs::{Pnt3, Vec3, Mat4};
/// A 3D perspective projection stored without any matrix.
///
/// Reading or modifying its individual properties is cheap but applying the transformation is costly.
#[deriving(Eq, PartialEq, RustcEncodable, RustcDecodable, Clone, Show, Copy)]
#[derive(Eq, PartialEq, RustcEncodable, RustcDecodable, Clone, Show, Copy)]
pub struct Persp3<N> {
aspect: N,
fov: N,
@ -15,7 +15,7 @@ pub struct Persp3<N> {
/// A 3D perspective projection stored as a 4D matrix.
///
/// Reading or modifying its individual properties is costly but applying the transformation is cheap.
#[deriving(Eq, PartialEq, RustcEncodable, RustcDecodable, Clone, Show, Copy)]
#[derive(Eq, PartialEq, RustcEncodable, RustcDecodable, Clone, Show, Copy)]
pub struct PerspMat3<N> {
mat: Mat4<N>
}

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@ -5,6 +5,7 @@
use std::mem;
use std::slice::{Iter, IterMut};
use std::iter::{Iterator, FromIterator};
use std::ops::*;
use traits::operations::{ApproxEq, POrd, POrdering, Axpy, ScalarAdd, ScalarSub, ScalarMul,
ScalarDiv};
use traits::structure::{Cast, Dim, Indexable, Iterable, IterableMut, PntAsVec, Shape,
@ -14,7 +15,7 @@ use structs::vec::{Vec1, Vec2, Vec3, Vec4, Vec5, Vec6};
/// Point of dimension 0.
#[deriving(Eq, PartialEq, RustcDecodable, Clone, Rand, Show, Copy)]
#[derive(Eq, PartialEq, RustcDecodable, Clone, Rand, Show, Copy)]
pub struct Pnt0<N>;
impl<N> Pnt0<N> {
@ -32,7 +33,7 @@ impl<N> Pnt0<N> {
}
/// Point of dimension 1.
#[deriving(Eq, PartialEq, RustcEncodable, RustcDecodable, Clone, Hash, Rand, Show, Copy)]
#[derive(Eq, PartialEq, RustcEncodable, RustcDecodable, Clone, Hash, Rand, Show, Copy)]
pub struct Pnt1<N> {
/// First component of the point.
pub x: N
@ -70,7 +71,7 @@ pnt_from_homogeneous_impl!(Pnt1, Pnt2, y, x);
num_float_pnt_impl!(Pnt1, Vec1);
/// Point of dimension 2.
#[deriving(Eq, PartialEq, RustcEncodable, RustcDecodable, Clone, Hash, Rand, Show, Copy)]
#[derive(Eq, PartialEq, RustcEncodable, RustcDecodable, Clone, Hash, Rand, Show, Copy)]
pub struct Pnt2<N> {
/// First component of the point.
pub x: N,
@ -110,7 +111,7 @@ pnt_from_homogeneous_impl!(Pnt2, Pnt3, z, x, y);
num_float_pnt_impl!(Pnt2, Vec2);
/// Point of dimension 3.
#[deriving(Eq, PartialEq, RustcEncodable, RustcDecodable, Clone, Hash, Rand, Show, Copy)]
#[derive(Eq, PartialEq, RustcEncodable, RustcDecodable, Clone, Hash, Rand, Show, Copy)]
pub struct Pnt3<N> {
/// First component of the point.
pub x: N,
@ -152,7 +153,7 @@ pnt_from_homogeneous_impl!(Pnt3, Pnt4, w, x, y, z);
num_float_pnt_impl!(Pnt3, Vec3);
/// Point of dimension 4.
#[deriving(Eq, PartialEq, RustcEncodable, RustcDecodable, Clone, Hash, Rand, Show, Copy)]
#[derive(Eq, PartialEq, RustcEncodable, RustcDecodable, Clone, Hash, Rand, Show, Copy)]
pub struct Pnt4<N> {
/// First component of the point.
pub x: N,
@ -196,7 +197,7 @@ pnt_from_homogeneous_impl!(Pnt4, Pnt5, a, x, y, z, w);
num_float_pnt_impl!(Pnt4, Vec4);
/// Point of dimension 5.
#[deriving(Eq, PartialEq, RustcEncodable, RustcDecodable, Clone, Hash, Rand, Show, Copy)]
#[derive(Eq, PartialEq, RustcEncodable, RustcDecodable, Clone, Hash, Rand, Show, Copy)]
pub struct Pnt5<N> {
/// First component of the point.
pub x: N,
@ -242,7 +243,7 @@ pnt_from_homogeneous_impl!(Pnt5, Pnt6, b, x, y, z, w, a);
num_float_pnt_impl!(Pnt5, Vec5);
/// Point of dimension 6.
#[deriving(Eq, PartialEq, RustcEncodable, RustcDecodable, Clone, Hash, Rand, Show, Copy)]
#[derive(Eq, PartialEq, RustcEncodable, RustcDecodable, Clone, Hash, Rand, Show, Copy)]
pub struct Pnt6<N> {
/// First component of the point.
pub x: N,

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@ -6,6 +6,8 @@ use std::mem;
use std::num;
use std::rand::{Rand, Rng};
use std::slice::{Iter, IterMut};
use std::ops::*;
use std::iter::FromIterator;
use structs::{Vec3, Pnt3, Rot3, Mat3};
use traits::operations::{ApproxEq, Inv, POrd, POrdering, Axpy, ScalarAdd, ScalarSub, ScalarMul,
ScalarDiv};
@ -14,7 +16,7 @@ use traits::structure::{Cast, Indexable, Iterable, IterableMut, Dim, Shape, Base
use traits::geometry::{Norm, Rotation, Rotate, Transform};
/// A quaternion.
#[deriving(Eq, PartialEq, RustcEncodable, RustcDecodable, Clone, Hash, Rand, Show, Copy)]
#[derive(Eq, PartialEq, RustcEncodable, RustcDecodable, Clone, Hash, Rand, Show, Copy)]
pub struct Quat<N> {
/// The scalar component of the quaternion.
pub w: N,
@ -140,7 +142,7 @@ impl<N: ApproxEq<N> + BaseFloat> Div<Quat<N>, Quat<N>> for Quat<N> {
}
/// A unit quaternion that can represent a 3D rotation.
#[deriving(Eq, PartialEq, RustcEncodable, RustcDecodable, Clone, Hash, Show, Copy)]
#[derive(Eq, PartialEq, RustcEncodable, RustcDecodable, Clone, Hash, Show, Copy)]
pub struct UnitQuat<N> {
q: Quat<N>
}

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@ -2,6 +2,8 @@
#![allow(missing_docs)]
use std::ops::*;
use std::rand::{Rand, Rng};
use traits::geometry::{Rotate, Rotation, AbsoluteRotate, RotationMatrix, Transform, ToHomogeneous,
Norm, Cross};
@ -13,7 +15,7 @@ use structs::mat::{Mat2, Mat3, Mat4, Mat5};
/// Two dimensional rotation matrix.
#[deriving(Eq, PartialEq, RustcEncodable, RustcDecodable, Clone, Show, Hash, Copy)]
#[derive(Eq, PartialEq, RustcEncodable, RustcDecodable, Clone, Show, Hash, Copy)]
pub struct Rot2<N> {
submat: Mat2<N>
}
@ -90,7 +92,7 @@ impl<N: BaseFloat> AbsoluteRotate<Vec2<N>> for Rot2<N> {
* 3d rotation
*/
/// Three dimensional rotation matrix.
#[deriving(Eq, PartialEq, RustcEncodable, RustcDecodable, Clone, Show, Hash, Copy)]
#[derive(Eq, PartialEq, RustcEncodable, RustcDecodable, Clone, Show, Hash, Copy)]
pub struct Rot3<N> {
submat: Mat3<N>
}
@ -288,7 +290,7 @@ impl<N: BaseFloat> AbsoluteRotate<Vec3<N>> for Rot3<N> {
}
/// Four dimensional rotation matrix.
#[deriving(Eq, PartialEq, RustcEncodable, RustcDecodable, Clone, Show, Hash, Copy)]
#[derive(Eq, PartialEq, RustcEncodable, RustcDecodable, Clone, Show, Hash, Copy)]
pub struct Rot4<N> {
submat: Mat4<N>
}

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@ -3,6 +3,7 @@ use traits::operations::{Inv, Transpose};
use traits::structure::{Zero, One};
use traits::geometry::{Translation, Translate, Rotation, Rotate, Transformation, Transform,
AbsoluteRotate};
use std::ops::*;
impl One for mat::Identity {
#[inline]

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@ -3,6 +3,7 @@ use structs::pnt::{Pnt2, Pnt3};
use structs::mat::{Mat1, Mat2, Mat3};
use traits::operations::{Inv, Det, ApproxEq};
use traits::structure::{Row, Col, BaseNum};
use std::ops::*;
// some specializations:
impl<N: BaseNum + ApproxEq<N>> Inv for Mat1<N> {

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@ -2,6 +2,7 @@ use traits::structure::{Cast, Row, Basis, BaseFloat, Zero, One};
use traits::geometry::{Norm, Cross, CrossMatrix, UniformSphereSample};
use structs::vec::{Vec1, Vec2, Vec3, Vec4};
use structs::mat::Mat3;
use std::ops::*;
impl<N: Copy + Mul<N, N> + Sub<N, N>> Cross<Vec1<N>> for Vec2<N> {
#[inline]

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@ -1,6 +1,7 @@
use std::mem;
use std::slice::{Iter, IterMut};
use std::iter::{Iterator, FromIterator};
use std::ops::*;
use traits::operations::ApproxEq;
use traits::structure::{Iterable, IterableMut, Indexable, Basis, Dim, Shape, BaseFloat, BaseNum,
Zero, One, Bounded};

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@ -5,6 +5,7 @@
use std::mem;
use std::slice::{Iter, IterMut};
use std::iter::{Iterator, FromIterator};
use std::ops::*;
use traits::operations::{ApproxEq, POrd, POrdering, Axpy, ScalarAdd, ScalarSub, ScalarMul,
ScalarDiv, Absolute};
use traits::geometry::{Transform, Rotate, FromHomogeneous, ToHomogeneous, Dot, Norm,
@ -15,7 +16,7 @@ use structs::pnt::{Pnt1, Pnt2, Pnt3, Pnt4, Pnt5, Pnt6};
/// Vector of dimension 0.
#[deriving(Eq, PartialEq, RustcDecodable, Clone, Rand, Zero, Show, Copy)]
#[derive(Eq, PartialEq, RustcDecodable, Clone, Rand, Zero, Show, Copy)]
pub struct Vec0<N>;
impl<N> Vec0<N> {
@ -33,7 +34,7 @@ impl<N> Vec0<N> {
}
/// Vector of dimension 1.
#[deriving(Eq, PartialEq, RustcEncodable, RustcDecodable, Clone, Hash, Rand, Show, Copy)]
#[derive(Eq, PartialEq, RustcEncodable, RustcDecodable, Clone, Hash, Rand, Show, Copy)]
pub struct Vec1<N> {
/// First component of the vector.
pub x: N
@ -82,7 +83,7 @@ num_float_vec_impl!(Vec1);
absolute_vec_impl!(Vec1, x);
/// Vector of dimension 2.
#[deriving(Eq, PartialEq, RustcEncodable, RustcDecodable, Clone, Hash, Rand, Zero, Show, Copy)]
#[derive(Eq, PartialEq, RustcEncodable, RustcDecodable, Clone, Hash, Rand, Zero, Show, Copy)]
pub struct Vec2<N> {
/// First component of the vector.
pub x: N,
@ -133,7 +134,7 @@ num_float_vec_impl!(Vec2);
absolute_vec_impl!(Vec2, x, y);
/// Vector of dimension 3.
#[deriving(Eq, PartialEq, RustcEncodable, RustcDecodable, Clone, Hash, Rand, Zero, Show, Copy)]
#[derive(Eq, PartialEq, RustcEncodable, RustcDecodable, Clone, Hash, Rand, Zero, Show, Copy)]
pub struct Vec3<N> {
/// First component of the vector.
pub x: N,
@ -187,7 +188,7 @@ absolute_vec_impl!(Vec3, x, y, z);
/// Vector of dimension 4.
#[deriving(Eq, PartialEq, RustcEncodable, RustcDecodable, Clone, Hash, Rand, Zero, Show, Copy)]
#[derive(Eq, PartialEq, RustcEncodable, RustcDecodable, Clone, Hash, Rand, Zero, Show, Copy)]
pub struct Vec4<N> {
/// First component of the vector.
pub x: N,
@ -242,7 +243,7 @@ num_float_vec_impl!(Vec4);
absolute_vec_impl!(Vec4, x, y, z, w);
/// Vector of dimension 5.
#[deriving(Eq, PartialEq, RustcEncodable, RustcDecodable, Clone, Hash, Rand, Zero, Show, Copy)]
#[derive(Eq, PartialEq, RustcEncodable, RustcDecodable, Clone, Hash, Rand, Zero, Show, Copy)]
pub struct Vec5<N> {
/// First component of the vector.
pub x: N,
@ -299,7 +300,7 @@ num_float_vec_impl!(Vec5);
absolute_vec_impl!(Vec5, x, y, z, w, a);
/// Vector of dimension 6.
#[deriving(Eq, PartialEq, RustcEncodable, RustcDecodable, Clone, Hash, Rand, Zero, Show, Copy)]
#[derive(Eq, PartialEq, RustcEncodable, RustcDecodable, Clone, Hash, Rand, Zero, Show, Copy)]
pub struct Vec6<N> {
/// First component of the vector.
pub x: N,

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@ -1,5 +1,6 @@
//! Traits of operations having a well-known or explicit geometric meaning.
use std::ops::*;
use traits::structure::{BaseFloat, Mat};
@ -82,7 +83,7 @@ pub trait Rotate<V> {
///
/// Those operations are automatically implemented in term of the `Rotation` and `Translation`
/// traits.
pub trait RotationWithTranslation<LV: Neg<LV> + Copy, AV>: Rotation<AV> + Translation<LV> {
pub trait RotationWithTranslation<LV: Neg<LV> + Copy, AV>: Rotation<AV> + Translation<LV> + Sized {
/// Applies a rotation centered on a specific point.
///
/// # Arguments

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@ -1,10 +1,13 @@
//! Low level operations on vectors and matrices.
use std::num::{Float, SignedInt};
use std::ops::*;
use std::cmp::*;
use std::cmp::Ordering::*;
use traits::structure::SquareMat;
/// Result of a partial ordering.
#[deriving(Eq, PartialEq, RustcEncodable, RustcDecodable, Clone, Show, Copy)]
#[derive(Eq, PartialEq, RustcEncodable, RustcDecodable, Clone, Show, Copy)]
pub enum POrdering {
/// Result of a strict comparison.
PartialLess,
@ -149,7 +152,7 @@ pub trait POrd {
}
/// Trait for testing approximate equality
pub trait ApproxEq<Eps> {
pub trait ApproxEq<Eps>: Sized {
/// Default epsilon for approximation.
fn approx_epsilon(unused_self: Option<Self>) -> Eps;

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@ -4,6 +4,7 @@ use std::f32;
use std::f64;
use std::num::{Int, Float, FloatMath};
use std::slice::{Iter, IterMut};
use std::ops::*;
use traits::operations::{RMul, LMul, Axpy, Transpose, Inv, Absolute};
use traits::geometry::{Dot, Norm, Orig};
@ -268,7 +269,7 @@ pub trait NumPnt<N, V>:
}
/// Trait of points with components implementing the `BaseFloat` trait.
pub trait FloatPnt<N: BaseFloat, V: Norm<N>>: NumPnt<N, V> {
pub trait FloatPnt<N: BaseFloat, V: Norm<N>>: NumPnt<N, V> + Sized {
/// Computes the square distance between two points.
#[inline]
fn sqdist(&self, other: &Self) -> N {