Automatically derive TotalEq whenever Eq is derived.

src/structs/dmat.rs

@@ -15,7 +15,7 @@ use traits::structure::Cast;
 mod metal;
 
 /// Matrix with dimensions unknown at compile-time.
-#[deriving(Eq, Clone)]
+#[deriving(TotalEq, Eq, Clone)]
 pub struct DMat<N> {
     priv nrows: uint,
     priv ncols: uint,

src/structs/dvec.rs

@@ -15,7 +15,7 @@ use traits::structure::{Iterable, IterableMut};
 mod metal;
 
 /// Vector with a dimension unknown at compile-time.
-#[deriving(Eq, Show, Clone)]
+#[deriving(TotalEq, Eq, Show, Clone)]
 pub struct DVec<N> {
     /// Components of the vector. Contains as much elements as the vector dimension.
     at: Vec<N>

src/structs/iso.rs

@@ -20,7 +20,7 @@ mod iso_macros;
 ///
 /// 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, Encodable, Decodable, Clone, Show)]
+#[deriving(TotalEq, Eq, Encodable, Decodable, Clone, Show)]
 pub struct Iso2<N> {
     /// The rotation applicable by this isometry.
     rotation:    Rot2<N>,
@@ -32,7 +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, Encodable, Decodable, Clone, Show)]
+#[deriving(TotalEq, Eq, Encodable, Decodable, Clone, Show)]
 pub struct Iso3<N> {
     /// The rotation applicable by this isometry.
     rotation:    Rot3<N>,
@@ -43,7 +43,7 @@ pub struct Iso3<N> {
 /// Four dimensional isometry.
 ///
 /// Isometries conserve angles and distances, hence do not allow shearing nor scaling.
-#[deriving(Eq, Encodable, Decodable, Clone, Show)]
+#[deriving(TotalEq, Eq, Encodable, Decodable, Clone, Show)]
 pub struct Iso4<N> {
     /// The rotation applicable by this isometry.
     rotation:    Rot4<N>,

src/structs/mat.rs

@@ -17,7 +17,7 @@ mod metal;
 mod mat_macros;
 
 /// Special identity matrix. All its operation are no-ops.
-#[deriving(Eq, Decodable, Clone, Rand, Show)]
+#[deriving(TotalEq, Eq, Decodable, Clone, Rand, Show)]
 pub struct Identity;
 
 impl Identity {
@@ -29,7 +29,7 @@ impl Identity {
 }
 
 /// Square matrix of dimension 1.
-#[deriving(Eq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
+#[deriving(TotalEq, Eq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
 pub struct Mat1<N> {
     m11: N
 }
@@ -121,7 +121,7 @@ from_homogeneous_impl!(Mat1, Mat2, 1, 2)
 outer_impl!(Vec1, Mat1)
 
 /// Square matrix of dimension 2.
-#[deriving(Eq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
+#[deriving(TotalEq, Eq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
 pub struct Mat2<N> {
     m11: N, m21: N,
     m12: N, m22: N
@@ -218,7 +218,7 @@ from_homogeneous_impl!(Mat2, Mat3, 2, 3)
 outer_impl!(Vec2, Mat2)
 
 /// Square matrix of dimension 3.
-#[deriving(Eq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
+#[deriving(TotalEq, Eq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
 pub struct Mat3<N> {
     m11: N, m21: N, m31: N,
     m12: N, m22: N, m32: N,
@@ -329,7 +329,7 @@ from_homogeneous_impl!(Mat3, Mat4, 3, 4)
 outer_impl!(Vec3, Mat3)
 
 /// Square matrix of dimension 4.
-#[deriving(Eq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
+#[deriving(TotalEq, Eq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
 pub struct Mat4<N> {
     m11: N, m21: N, m31: N, m41: N,
     m12: N, m22: N, m32: N, m42: N,
@@ -492,7 +492,7 @@ from_homogeneous_impl!(Mat4, Mat5, 4, 5)
 outer_impl!(Vec4, Mat4)
 
 /// Square matrix of dimension 5.
-#[deriving(Eq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
+#[deriving(TotalEq, Eq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
 pub struct Mat5<N> {
     m11: N, m21: N, m31: N, m41: N, m51: N,
     m12: N, m22: N, m32: N, m42: N, m52: N,
@@ -671,7 +671,7 @@ from_homogeneous_impl!(Mat5, Mat6, 5, 6)
 outer_impl!(Vec5, Mat5)
 
 /// Square matrix of dimension 6.
-#[deriving(Eq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
+#[deriving(TotalEq, Eq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
 pub struct Mat6<N> {
     m11: N, m21: N, m31: N, m41: N, m51: N, m61: N,
     m12: N, m22: N, m32: N, m42: N, m52: N, m62: N,

src/structs/rot.rs

@@ -15,7 +15,7 @@ mod metal;
 mod rot_macros;
 
 /// Two dimensional rotation matrix.
-#[deriving(Eq, Encodable, Decodable, Clone, Show, Hash)]
+#[deriving(TotalEq, Eq, Encodable, Decodable, Clone, Show, Hash)]
 pub struct Rot2<N> {
     priv submat: Mat2<N>
 }
@@ -93,7 +93,7 @@ impl<N: Signed> AbsoluteRotate<Vec2<N>> for Rot2<N> {
  * 3d rotation
  */
 /// Three dimensional rotation matrix.
-#[deriving(Eq, Encodable, Decodable, Clone, Show, Hash)]
+#[deriving(TotalEq, Eq, Encodable, Decodable, Clone, Show, Hash)]
 pub struct Rot3<N> {
     priv submat: Mat3<N>
 }
@@ -264,7 +264,7 @@ impl<N: Signed> AbsoluteRotate<Vec3<N>> for Rot3<N> {
 }
 
 /// Four dimensional rotation matrix.
-#[deriving(Eq, Encodable, Decodable, Clone, Show, Hash)]
+#[deriving(TotalEq, Eq, Encodable, Decodable, Clone, Show, Hash)]
 pub struct Rot4<N> {
     priv submat: Mat4<N>
 }

src/structs/vec.rs

@@ -16,11 +16,11 @@ mod metal;
 mod vec_macros;
 
 /// Vector of dimension 0.
-#[deriving(Eq, Decodable, Clone, Rand, Zero, Show)]
+#[deriving(TotalEq, Eq, Decodable, Clone, Rand, Zero, Show)]
 pub struct Vec0<N>;
 
 /// Vector of dimension 1.
-#[deriving(Eq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
+#[deriving(TotalEq, Eq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
 pub struct Vec1<N> {
     /// First component of the vector.
     x: N
@@ -116,7 +116,7 @@ rotate_impl!(Vec1)
 transform_impl!(Vec1)
 
 /// Vector of dimension 2.
-#[deriving(Eq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
+#[deriving(TotalEq, Eq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
 pub struct Vec2<N> {
     /// First component of the vector.
     x: N,
@@ -214,7 +214,7 @@ rotate_impl!(Vec2)
 transform_impl!(Vec2)
 
 /// Vector of dimension 3.
-#[deriving(Eq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
+#[deriving(TotalEq, Eq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
 pub struct Vec3<N> {
     /// First component of the vector.
     x: N,
@@ -318,7 +318,7 @@ transform_impl!(Vec3)
 
 
 /// Vector of dimension 4.
-#[deriving(Eq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
+#[deriving(TotalEq, Eq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
 pub struct Vec4<N> {
     /// First component of the vector.
     x: N,
@@ -420,7 +420,7 @@ rotate_impl!(Vec4)
 transform_impl!(Vec4)
 
 /// Vector of dimension 5.
-#[deriving(Eq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
+#[deriving(TotalEq, Eq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
 pub struct Vec5<N> {
     /// First component of the vector.
     x: N,
@@ -524,7 +524,7 @@ rotate_impl!(Vec5)
 transform_impl!(Vec5)
 
 /// Vector of dimension 6.
-#[deriving(Eq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
+#[deriving(TotalEq, Eq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
 pub struct Vec6<N> {
     /// First component of the vector.
     x: N,

src/traits/operations.rs

@@ -4,7 +4,7 @@ use std::cmp;
 
 
 /// Result of a partial ordering.
-#[deriving(Eq, Encodable, Decodable, Clone, Show)]
+#[deriving(TotalEq, Eq, Encodable, Decodable, Clone, Show)]
 pub enum PartialOrdering {
     /// Result of a strict comparison.
     Less,