forked from M-Labs/nalgebra
Update to the last rust-nightly.
Version of rustc: 0.11.0-pre-nightly (918dbfe 2014-06-02 20:51:30 -0700).
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@ -105,13 +105,13 @@ pub fn clamp<T: cmp::PartialOrd>(val: T, min: T, max: T) -> T {
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/// Same as `cmp::max`.
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#[inline(always)]
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pub fn max<T: TotalOrd>(a: T, b: T) -> T {
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pub fn max<T: Ord>(a: T, b: T) -> T {
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cmp::max(a, b)
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}
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/// Same as `cmp::min`.
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#[inline(always)]
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pub fn min<T: TotalOrd>(a: T, b: T) -> T {
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pub fn min<T: Ord>(a: T, b: T) -> T {
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cmp::min(a, b)
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}
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@ -14,7 +14,7 @@ use std::fmt::{Show, Formatter, Result};
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/// Matrix with dimensions unknown at compile-time.
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#[deriving(TotalEq, PartialEq, Clone)]
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#[deriving(Eq, PartialEq, Clone)]
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pub struct DMat<N> {
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nrows: uint,
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ncols: uint,
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@ -12,7 +12,7 @@ use traits::geometry::{Dot, Norm};
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use traits::structure::{Iterable, IterableMut, Indexable};
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/// Vector with a dimension unknown at compile-time.
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#[deriving(TotalEq, PartialEq, Show, Clone)]
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#[deriving(Eq, PartialEq, Show, Clone)]
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pub struct DVec<N> {
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/// Components of the vector. Contains as much elements as the vector dimension.
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pub at: Vec<N>
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@ -18,7 +18,7 @@ use structs::rot::{Rot2, Rot3, Rot4};
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///
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/// This is the composition of a rotation followed by a translation.
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/// Isometries conserve angles and distances, hence do not allow shearing nor scaling.
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#[deriving(TotalEq, PartialEq, Encodable, Decodable, Clone, Show)]
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#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Show)]
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pub struct Iso2<N> {
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/// The rotation applicable by this isometry.
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pub rotation: Rot2<N>,
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@ -30,7 +30,7 @@ pub struct Iso2<N> {
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///
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/// This is the composition of a rotation followed by a translation.
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/// Isometries conserve angles and distances, hence do not allow shearing nor scaling.
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#[deriving(TotalEq, PartialEq, Encodable, Decodable, Clone, Show)]
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#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Show)]
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pub struct Iso3<N> {
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/// The rotation applicable by this isometry.
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pub rotation: Rot3<N>,
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@ -41,7 +41,7 @@ pub struct Iso3<N> {
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/// Four dimensional isometry.
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///
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/// Isometries conserve angles and distances, hence do not allow shearing nor scaling.
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#[deriving(TotalEq, PartialEq, Encodable, Decodable, Clone, Show)]
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#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Show)]
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pub struct Iso4<N> {
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/// The rotation applicable by this isometry.
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pub rotation: Rot4<N>,
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@ -17,7 +17,7 @@ use traits::geometry::{ToHomogeneous, FromHomogeneous};
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/// Special identity matrix. All its operation are no-ops.
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#[deriving(TotalEq, PartialEq, Decodable, Clone, Rand, Show)]
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#[deriving(Eq, PartialEq, Decodable, Clone, Rand, Show)]
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pub struct Identity;
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impl Identity {
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@ -29,7 +29,7 @@ impl Identity {
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}
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/// Square matrix of dimension 1.
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#[deriving(TotalEq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
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#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
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pub struct Mat1<N> {
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pub m11: N
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}
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@ -125,7 +125,7 @@ from_homogeneous_impl!(Mat1, Mat2, 1, 2)
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outer_impl!(Vec1, Mat1)
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/// Square matrix of dimension 2.
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#[deriving(TotalEq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
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#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
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pub struct Mat2<N> {
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pub m11: N, pub m21: N,
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pub m12: N, pub m22: N
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@ -226,7 +226,7 @@ from_homogeneous_impl!(Mat2, Mat3, 2, 3)
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outer_impl!(Vec2, Mat2)
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/// Square matrix of dimension 3.
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#[deriving(TotalEq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
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#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
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pub struct Mat3<N> {
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pub m11: N, pub m21: N, pub m31: N,
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pub m12: N, pub m22: N, pub m32: N,
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@ -341,7 +341,7 @@ from_homogeneous_impl!(Mat3, Mat4, 3, 4)
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outer_impl!(Vec3, Mat3)
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/// Square matrix of dimension 4.
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#[deriving(TotalEq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
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#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
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pub struct Mat4<N> {
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pub m11: N, pub m21: N, pub m31: N, pub m41: N,
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pub m12: N, pub m22: N, pub m32: N, pub m42: N,
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@ -508,7 +508,7 @@ from_homogeneous_impl!(Mat4, Mat5, 4, 5)
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outer_impl!(Vec4, Mat4)
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/// Square matrix of dimension 5.
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#[deriving(TotalEq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
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#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
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pub struct Mat5<N> {
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pub m11: N, pub m21: N, pub m31: N, pub m41: N, pub m51: N,
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pub m12: N, pub m22: N, pub m32: N, pub m42: N, pub m52: N,
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@ -691,7 +691,7 @@ from_homogeneous_impl!(Mat5, Mat6, 5, 6)
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outer_impl!(Vec5, Mat5)
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/// Square matrix of dimension 6.
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#[deriving(TotalEq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
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#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
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pub struct Mat6<N> {
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pub m11: N, pub m21: N, pub m31: N, pub m41: N, pub m51: N, pub m61: N,
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pub m12: N, pub m22: N, pub m32: N, pub m42: N, pub m52: N, pub m62: N,
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@ -13,7 +13,7 @@ use structs::mat::{Mat2, Mat3, Mat4, Mat5};
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/// Two dimensional rotation matrix.
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#[deriving(TotalEq, PartialEq, Encodable, Decodable, Clone, Show, Hash)]
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#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Show, Hash)]
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pub struct Rot2<N> {
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submat: Mat2<N>
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}
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@ -91,7 +91,7 @@ impl<N: Signed> AbsoluteRotate<Vec2<N>> for Rot2<N> {
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* 3d rotation
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*/
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/// Three dimensional rotation matrix.
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#[deriving(TotalEq, PartialEq, Encodable, Decodable, Clone, Show, Hash)]
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#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Show, Hash)]
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pub struct Rot3<N> {
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submat: Mat3<N>
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}
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@ -262,7 +262,7 @@ impl<N: Signed> AbsoluteRotate<Vec3<N>> for Rot3<N> {
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}
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/// Four dimensional rotation matrix.
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#[deriving(TotalEq, PartialEq, Encodable, Decodable, Clone, Show, Hash)]
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#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Show, Hash)]
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pub struct Rot4<N> {
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submat: Mat4<N>
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}
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@ -14,11 +14,11 @@ use traits::structure::{Basis, Cast, Dim, Indexable, Iterable, IterableMut};
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/// Vector of dimension 0.
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#[deriving(TotalEq, PartialEq, Decodable, Clone, Rand, Zero, Show)]
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#[deriving(Eq, PartialEq, Decodable, Clone, Rand, Zero, Show)]
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pub struct Vec0<N>;
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/// Vector of dimension 1.
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#[deriving(TotalEq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
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#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
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pub struct Vec1<N> {
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/// First component of the vector.
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pub x: N
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@ -113,7 +113,7 @@ rotate_impl!(Vec1)
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transform_impl!(Vec1)
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/// Vector of dimension 2.
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#[deriving(TotalEq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
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#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
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pub struct Vec2<N> {
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/// First component of the vector.
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pub x: N,
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@ -210,7 +210,7 @@ rotate_impl!(Vec2)
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transform_impl!(Vec2)
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/// Vector of dimension 3.
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#[deriving(TotalEq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
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#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
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pub struct Vec3<N> {
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/// First component of the vector.
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pub x: N,
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@ -313,7 +313,7 @@ transform_impl!(Vec3)
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/// Vector of dimension 4.
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#[deriving(TotalEq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
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#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
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pub struct Vec4<N> {
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/// First component of the vector.
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pub x: N,
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@ -414,7 +414,7 @@ rotate_impl!(Vec4)
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transform_impl!(Vec4)
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/// Vector of dimension 5.
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#[deriving(TotalEq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
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#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
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pub struct Vec5<N> {
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/// First component of the vector.
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pub x: N,
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@ -517,7 +517,7 @@ rotate_impl!(Vec5)
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transform_impl!(Vec5)
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/// Vector of dimension 6.
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#[deriving(TotalEq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
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#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
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pub struct Vec6<N> {
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/// First component of the vector.
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pub x: N,
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@ -34,8 +34,8 @@ macro_rules! at_fast_impl(
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)
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)
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// FIXME: N should be bounded by TotalOrd instead of Float…
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// However, f32/f64 does not implement TotalOrd…
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// FIXME: N should be bounded by Ord instead of Float…
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// However, f32/f64 does not implement Ord…
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macro_rules! ord_impl(
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($t: ident, $comp0: ident $(,$compN: ident)*) => (
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impl<N: FloatMath + Clone> PartialOrd for $t<N> {
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@ -3,7 +3,7 @@
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/// Result of a partial ordering.
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#[deriving(TotalEq, PartialEq, Encodable, Decodable, Clone, Show)]
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#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Show)]
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pub enum PartialOrdering {
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/// Result of a strict comparison.
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PartialLess,
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