Update to the last rust-nightly.

Version of rustc: 0.11.0-pre-nightly (faa7ba7 2014-05-31 01:06:40 -0700).

Main changes:
        * `cmp::Ord` -> `cmp::PartialOrd`
        * `cmp::Eq`  ->  `cmp::PartialEq`

Note that `na::PartialOrd` is not the same as `cmp::PartialOrd`
(which lacks a lot of partial ordering operators).

src/bench/mat.rs

@@ -1,4 +1,4 @@
-use rand::random;
+use std::rand::random;
 use test::Bencher;
 use na::{Vec2, Vec3, Vec4, Vec5, Vec6, DVec, Mat2, Mat3, Mat4, Mat5, Mat6, DMat};
 

src/bench/vec.rs

@@ -1,4 +1,4 @@
-use rand::random;
+use std::rand::random;
 use test::Bencher;
 use na::{Vec2, Vec3, Vec4, Vec5, Vec6};
 use na;

src/lib.rs

@@ -115,6 +115,8 @@ extern crate serialize;
 
 #[cfg(test)]
 extern crate test;
+#[cfg(test)]
+extern crate debug;
 
 pub mod na;
 mod structs;

src/na.rs

@@ -89,7 +89,7 @@ pub mod overload {
 
 /// Change the input value to ensure it is on the range `[min, max]`.
 #[inline(always)]
-pub fn clamp<T: Ord>(val: T, min: T, max: T) -> T {
+pub fn clamp<T: cmp::PartialOrd>(val: T, min: T, max: T) -> T {
     if val > min {
         if val < max {
             val

src/structs/dmat.rs

@@ -14,7 +14,7 @@ use std::fmt::{Show, Formatter, Result};
 
 
 /// Matrix with dimensions unknown at compile-time.
-#[deriving(TotalEq, Eq, Clone)]
+#[deriving(TotalEq, PartialEq, Clone)]
 pub struct DMat<N> {
     nrows: uint,
     ncols: uint,

src/structs/dvec.rs

@@ -12,7 +12,7 @@ use traits::geometry::{Dot, Norm};
 use traits::structure::{Iterable, IterableMut, Indexable};
 
 /// Vector with a dimension unknown at compile-time.
-#[deriving(TotalEq, Eq, Show, Clone)]
+#[deriving(TotalEq, PartialEq, Show, Clone)]
 pub struct DVec<N> {
     /// Components of the vector. Contains as much elements as the vector dimension.
     pub at: Vec<N>

src/structs/iso.rs

@@ -18,7 +18,7 @@ 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(TotalEq, Eq, Encodable, Decodable, Clone, Show)]
+#[deriving(TotalEq, PartialEq, Encodable, Decodable, Clone, Show)]
 pub struct Iso2<N> {
     /// The rotation applicable by this isometry.
     pub rotation:    Rot2<N>,
@@ -30,7 +30,7 @@ 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(TotalEq, Eq, Encodable, Decodable, Clone, Show)]
+#[deriving(TotalEq, PartialEq, Encodable, Decodable, Clone, Show)]
 pub struct Iso3<N> {
     /// The rotation applicable by this isometry.
     pub rotation:    Rot3<N>,
@@ -41,7 +41,7 @@ pub struct Iso3<N> {
 /// Four dimensional isometry.
 ///
 /// Isometries conserve angles and distances, hence do not allow shearing nor scaling.
-#[deriving(TotalEq, Eq, Encodable, Decodable, Clone, Show)]
+#[deriving(TotalEq, PartialEq, Encodable, Decodable, Clone, Show)]
 pub struct Iso4<N> {
     /// The rotation applicable by this isometry.
     pub rotation:    Rot4<N>,

src/structs/mat.rs

@@ -17,7 +17,7 @@ use traits::geometry::{ToHomogeneous, FromHomogeneous};
 
 
 /// Special identity matrix. All its operation are no-ops.
-#[deriving(TotalEq, Eq, Decodable, Clone, Rand, Show)]
+#[deriving(TotalEq, PartialEq, Decodable, Clone, Rand, Show)]
 pub struct Identity;
 
 impl Identity {
@@ -29,7 +29,7 @@ impl Identity {
 }
 
 /// Square matrix of dimension 1.
-#[deriving(TotalEq, Eq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
+#[deriving(TotalEq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
 pub struct Mat1<N> {
     pub m11: N
 }
@@ -125,7 +125,7 @@ from_homogeneous_impl!(Mat1, Mat2, 1, 2)
 outer_impl!(Vec1, Mat1)
 
 /// Square matrix of dimension 2.
-#[deriving(TotalEq, Eq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
+#[deriving(TotalEq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
 pub struct Mat2<N> {
     pub m11: N, pub m21: N,
     pub m12: N, pub m22: N
@@ -226,7 +226,7 @@ from_homogeneous_impl!(Mat2, Mat3, 2, 3)
 outer_impl!(Vec2, Mat2)
 
 /// Square matrix of dimension 3.
-#[deriving(TotalEq, Eq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
+#[deriving(TotalEq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
 pub struct Mat3<N> {
     pub m11: N, pub m21: N, pub m31: N,
     pub m12: N, pub m22: N, pub m32: N,
@@ -341,7 +341,7 @@ from_homogeneous_impl!(Mat3, Mat4, 3, 4)
 outer_impl!(Vec3, Mat3)
 
 /// Square matrix of dimension 4.
-#[deriving(TotalEq, Eq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
+#[deriving(TotalEq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
 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,
@@ -508,7 +508,7 @@ from_homogeneous_impl!(Mat4, Mat5, 4, 5)
 outer_impl!(Vec4, Mat4)
 
 /// Square matrix of dimension 5.
-#[deriving(TotalEq, Eq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
+#[deriving(TotalEq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
 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,
@@ -691,7 +691,7 @@ from_homogeneous_impl!(Mat5, Mat6, 5, 6)
 outer_impl!(Vec5, Mat5)
 
 /// Square matrix of dimension 6.
-#[deriving(TotalEq, Eq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
+#[deriving(TotalEq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
 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,

src/structs/mat_macros.rs

@@ -397,7 +397,7 @@ macro_rules! mat_mul_vec_impl(
 
 macro_rules! inv_impl(
   ($t: ident, $dim: expr) => (
-    impl<N: Clone + Eq + Num>
+    impl<N: Clone + Num>
     Inv for $t<N> {
         #[inline]
         fn inv_cpy(m: &$t<N>) -> Option<$t<N>> {

src/structs/rot.rs

@@ -13,7 +13,7 @@ use structs::mat::{Mat2, Mat3, Mat4, Mat5};
 
 
 /// Two dimensional rotation matrix.
-#[deriving(TotalEq, Eq, Encodable, Decodable, Clone, Show, Hash)]
+#[deriving(TotalEq, PartialEq, Encodable, Decodable, Clone, Show, Hash)]
 pub struct Rot2<N> {
     submat: Mat2<N>
 }
@@ -91,7 +91,7 @@ impl<N: Signed> AbsoluteRotate<Vec2<N>> for Rot2<N> {
  * 3d rotation
  */
 /// Three dimensional rotation matrix.
-#[deriving(TotalEq, Eq, Encodable, Decodable, Clone, Show, Hash)]
+#[deriving(TotalEq, PartialEq, Encodable, Decodable, Clone, Show, Hash)]
 pub struct Rot3<N> {
     submat: Mat3<N>
 }
@@ -262,7 +262,7 @@ impl<N: Signed> AbsoluteRotate<Vec3<N>> for Rot3<N> {
 }
 
 /// Four dimensional rotation matrix.
-#[deriving(TotalEq, Eq, Encodable, Decodable, Clone, Show, Hash)]
+#[deriving(TotalEq, PartialEq, Encodable, Decodable, Clone, Show, Hash)]
 pub struct Rot4<N> {
     submat: Mat4<N>
 }

src/structs/spec/vec.rs

@@ -91,7 +91,7 @@ impl<N: Clone + One + Zero + Neg<N>> Basis for Vec2<N> {
     }
 }
 
-impl<N: Clone + Ord + Float + Signed> Basis for Vec3<N> {
+impl<N: Clone + PartialOrd + Float + Signed> Basis for Vec3<N> {
     #[inline(always)]
     fn canonical_basis(f: |Vec3<N>| -> bool) {
         if !f(Vec3::new(One::one(), Zero::zero(), Zero::zero())) { return };

src/structs/vec.rs

@@ -14,11 +14,11 @@ use traits::structure::{Basis, Cast, Dim, Indexable, Iterable, IterableMut};
 
 
 /// Vector of dimension 0.
-#[deriving(TotalEq, Eq, Decodable, Clone, Rand, Zero, Show)]
+#[deriving(TotalEq, PartialEq, Decodable, Clone, Rand, Zero, Show)]
 pub struct Vec0<N>;
 
 /// Vector of dimension 1.
-#[deriving(TotalEq, Eq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
+#[deriving(TotalEq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
 pub struct Vec1<N> {
     /// First component of the vector.
     pub x: N
@@ -113,7 +113,7 @@ rotate_impl!(Vec1)
 transform_impl!(Vec1)
 
 /// Vector of dimension 2.
-#[deriving(TotalEq, Eq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
+#[deriving(TotalEq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
 pub struct Vec2<N> {
     /// First component of the vector.
     pub x: N,
@@ -210,7 +210,7 @@ rotate_impl!(Vec2)
 transform_impl!(Vec2)
 
 /// Vector of dimension 3.
-#[deriving(TotalEq, Eq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
+#[deriving(TotalEq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
 pub struct Vec3<N> {
     /// First component of the vector.
     pub x: N,
@@ -313,7 +313,7 @@ transform_impl!(Vec3)
 
 
 /// Vector of dimension 4.
-#[deriving(TotalEq, Eq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
+#[deriving(TotalEq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
 pub struct Vec4<N> {
     /// First component of the vector.
     pub x: N,
@@ -414,7 +414,7 @@ rotate_impl!(Vec4)
 transform_impl!(Vec4)
 
 /// Vector of dimension 5.
-#[deriving(TotalEq, Eq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
+#[deriving(TotalEq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
 pub struct Vec5<N> {
     /// First component of the vector.
     pub x: N,
@@ -517,7 +517,7 @@ rotate_impl!(Vec5)
 transform_impl!(Vec5)
 
 /// Vector of dimension 6.
-#[deriving(TotalEq, Eq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
+#[deriving(TotalEq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
 pub struct Vec6<N> {
     /// First component of the vector.
     pub x: N,

src/structs/vec_macros.rs

@@ -38,7 +38,7 @@ macro_rules! at_fast_impl(
 // However, f32/f64 does not implement TotalOrd…
 macro_rules! ord_impl(
     ($t: ident, $comp0: ident $(,$compN: ident)*) => (
-        impl<N: FloatMath + Eq + Clone> PartialOrd for $t<N> {
+        impl<N: FloatMath + Clone> PartialOrd for $t<N> {
             #[inline]
             fn inf(a: &$t<N>, b: &$t<N>) -> $t<N> {
                 $t::new(a.$comp0.min(b.$comp0.clone())

src/tests/mat.rs

@@ -1,5 +1,5 @@
 use std::num::{Float, abs};
-use rand::random;
+use std::rand::random;
 use na::{Vec1, Vec3, Mat1, Mat2, Mat3, Mat4, Mat5, Mat6, Rot3, DMat, DVec, Indexable};
 use na;
 use na::decomp_qr;

src/tests/vec.rs

@@ -1,4 +1,4 @@
-use rand::random;
+use std::rand::random;
 use na::{Vec0, Vec1, Vec2, Vec3, Vec4, Vec5, Vec6};
 use na::{Mat3, Iterable, IterableMut}; // FIXME: get rid of that
 use na;

src/traits/operations.rs

@@ -3,7 +3,7 @@
 
 
 /// Result of a partial ordering.
-#[deriving(TotalEq, Eq, Encodable, Decodable, Clone, Show)]
+#[deriving(TotalEq, PartialEq, Encodable, Decodable, Clone, Show)]
 pub enum PartialOrdering {
     /// Result of a strict comparison.
     PartialLess,

src/traits/structure.rs

@@ -29,7 +29,7 @@ pub trait Eye {
 // different Add/Sub traits. This is _so_ unfortunate…
 
 /// Trait grouping most common operations on vectors.
-pub trait AnyVec<N>: Dim + Sub<Self, Self> + Add<Self, Self> + Neg<Self> + Zero + Eq + Mul<N, Self>
+pub trait AnyVec<N>: Dim + Sub<Self, Self> + Add<Self, Self> + Neg<Self> + Zero + PartialEq + Mul<N, Self>
                      + Div<N, Self> + Dot<N> {
 }
 
@@ -47,7 +47,7 @@ pub trait VecExt<N>: AnyVec<N> + Indexable<uint, N> + Iterable<N> +
 /// operations on vectors.
 pub trait FloatVecExt<N: Float>: FloatVec<N> + VecExt<N> + Basis { }
 
-impl<N, V: Dim + Sub<V, V> + Add<V, V> + Neg<V> + Zero + Eq + Mul<N, V> + Div<N, V> + Dot<N>>
+impl<N, V: Dim + Sub<V, V> + Add<V, V> + Neg<V> + Zero + PartialEq + Mul<N, V> + Div<N, V> + Dot<N>>
 AnyVec<N> for V { }
 
 impl<N: Float, V: AnyVec<N> + Norm<N>> FloatVec<N> for V { }