Derive Copy wherever sensible

Copy is now opt-in, see [1]. To keep the current library functionality it is
derived for all sensibly copyable types.

[1]: 096a28607f

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(Eq, PartialEq, Encodable, Decodable, Clone, Show)]
+#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Show, Copy)]
 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(Eq, PartialEq, Encodable, Decodable, Clone, Show)]
+#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Show, Copy)]
 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(Eq, PartialEq, Encodable, Decodable, Clone, Show)]
+#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Show, Copy)]
 pub struct Iso4<N> {
     /// The rotation applicable by this isometry.
     pub rotation:    Rot4<N>,

src/structs/mat.rs

@@ -17,7 +17,7 @@ use linalg;
 
 
 /// Special identity matrix. All its operation are no-ops.
-#[deriving(Eq, PartialEq, Decodable, Clone, Rand, Show)]
+#[deriving(Eq, PartialEq, Decodable, Clone, Rand, Show, Copy)]
 pub struct Identity;
 
 impl Identity {
@@ -29,7 +29,7 @@ impl Identity {
 }
 
 /// Square matrix of dimension 1.
-#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Show)]
+#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Show, Copy)]
 pub struct Mat1<N> {
     pub m11: N
 }
@@ -73,7 +73,7 @@ outer_impl!(Vec1, Mat1)
 eigen_qr_impl!(Mat1, Vec1)
 
 /// Square matrix of dimension 2.
-#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Show)]
+#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Show, Copy)]
 pub struct Mat2<N> {
     pub m11: N, pub m21: N,
     pub m12: N, pub m22: N
@@ -121,7 +121,7 @@ outer_impl!(Vec2, Mat2)
 eigen_qr_impl!(Mat2, Vec2)
 
 /// Square matrix of dimension 3.
-#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Show)]
+#[deriving(Eq, PartialEq, Encodable, Decodable, 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 +203,7 @@ outer_impl!(Vec3, Mat3)
 eigen_qr_impl!(Mat3, Vec3)
 
 /// Square matrix of dimension 4.
-#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Show)]
+#[deriving(Eq, PartialEq, Encodable, Decodable, 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 +303,7 @@ outer_impl!(Vec4, Mat4)
 eigen_qr_impl!(Mat4, Vec4)
 
 /// Square matrix of dimension 5.
-#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Show)]
+#[deriving(Eq, PartialEq, Encodable, Decodable, 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 +417,7 @@ outer_impl!(Vec5, Mat5)
 eigen_qr_impl!(Mat5, Vec5)
 
 /// Square matrix of dimension 6.
-#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Show)]
+#[deriving(Eq, PartialEq, Encodable, Decodable, 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,

src/structs/ortho.rs

@@ -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, Encodable, Decodable, Clone, Show)]
+#[deriving(Eq, PartialEq, Encodable, Decodable, 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, Encodable, Decodable, Clone, Show)]
+#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Show, Copy)]
 pub struct OrthoMat3<N> {
     mat: Mat4<N>
 }

src/structs/persp.rs

@@ -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, Encodable, Decodable, Clone, Show)]
+#[deriving(Eq, PartialEq, Encodable, Decodable, 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, Encodable, Decodable, Clone, Show)]
+#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Show, Copy)]
 pub struct PerspMat3<N> {
     mat: Mat4<N>
 }

src/structs/pnt.rs

@@ -14,7 +14,7 @@ use structs::vec::{Vec1, Vec2, Vec3, Vec4, Vec5, Vec6};
 
 
 /// Point of dimension 0.
-#[deriving(Eq, PartialEq, Decodable, Clone, Rand, Show)]
+#[deriving(Eq, PartialEq, Decodable, Clone, Rand, Show, Copy)]
 pub struct Pnt0<N>;
 
 impl<N> Pnt0<N> {
@@ -32,7 +32,7 @@ impl<N> Pnt0<N> {
 }
 
 /// Point of dimension 1.
-#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Show)]
+#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Show, Copy)]
 pub struct Pnt1<N> {
     /// First component of the point.
     pub x: N
@@ -70,7 +70,7 @@ pnt_from_homogeneous_impl!(Pnt1, Pnt2, y, x)
 num_float_pnt_impl!(Pnt1, Vec1)
 
 /// Point of dimension 2.
-#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Show)]
+#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Show, Copy)]
 pub struct Pnt2<N> {
     /// First component of the point.
     pub x: N,
@@ -110,7 +110,7 @@ pnt_from_homogeneous_impl!(Pnt2, Pnt3, z, x, y)
 num_float_pnt_impl!(Pnt2, Vec2)
 
 /// Point of dimension 3.
-#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Show)]
+#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Show, Copy)]
 pub struct Pnt3<N> {
     /// First component of the point.
     pub x: N,
@@ -152,7 +152,7 @@ pnt_from_homogeneous_impl!(Pnt3, Pnt4, w, x, y, z)
 num_float_pnt_impl!(Pnt3, Vec3)
 
 /// Point of dimension 4.
-#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Show)]
+#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Show, Copy)]
 pub struct Pnt4<N> {
     /// First component of the point.
     pub x: N,
@@ -196,7 +196,7 @@ pnt_from_homogeneous_impl!(Pnt4, Pnt5, a, x, y, z, w)
 num_float_pnt_impl!(Pnt4, Vec4)
 
 /// Point of dimension 5.
-#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Show)]
+#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Show, Copy)]
 pub struct Pnt5<N> {
     /// First component of the point.
     pub x: N,
@@ -242,7 +242,7 @@ 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, Encodable, Decodable, Clone, Hash, Rand, Show)]
+#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Show, Copy)]
 pub struct Pnt6<N> {
     /// First component of the point.
     pub x: N,

src/structs/quat.rs

@@ -14,7 +14,7 @@ use traits::structure::{Cast, Indexable, Iterable, IterableMut, Dim, Shape, Base
 use traits::geometry::{Norm, Cross, Rotation, Rotate, Transform};
 
 /// A quaternion.
-#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Show)]
+#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Show, Copy)]
 pub struct Quat<N> {
     /// The scalar component of the quaternion.
     pub w: N,
@@ -139,7 +139,7 @@ impl<N: ApproxEq<N> + BaseFloat + Clone> Div<Quat<N>, Quat<N>> for Quat<N> {
 }
 
 /// A unit quaternion that can represent a 3D rotation.
-#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Hash, Show)]
+#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Hash, Show, Copy)]
 pub struct UnitQuat<N> {
     q: Quat<N>
 }

src/structs/rot.rs

@@ -13,7 +13,7 @@ use structs::mat::{Mat2, Mat3, Mat4, Mat5};
 
 
 /// Two dimensional rotation matrix.
-#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Show, Hash)]
+#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Show, Hash, Copy)]
 pub struct Rot2<N> {
     submat: Mat2<N>
 }
@@ -90,7 +90,7 @@ impl<N: BaseFloat> AbsoluteRotate<Vec2<N>> for Rot2<N> {
  * 3d rotation
  */
 /// Three dimensional rotation matrix.
-#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Show, Hash)]
+#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Show, Hash, Copy)]
 pub struct Rot3<N> {
     submat: Mat3<N>
 }
@@ -288,7 +288,7 @@ impl<N: BaseFloat> AbsoluteRotate<Vec3<N>> for Rot3<N> {
 }
 
 /// Four dimensional rotation matrix.
-#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Show, Hash)]
+#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Show, Hash, Copy)]
 pub struct Rot4<N> {
     submat: Mat4<N>
 }

src/structs/vec.rs

@@ -15,7 +15,7 @@ use structs::pnt::{Pnt1, Pnt2, Pnt3, Pnt4, Pnt5, Pnt6};
 
 
 /// Vector of dimension 0.
-#[deriving(Eq, PartialEq, Decodable, Clone, Rand, Zero, Show)]
+#[deriving(Eq, PartialEq, Decodable, Clone, Rand, Zero, Show, Copy)]
 pub struct Vec0<N>;
 
 impl<N> Vec0<N> {
@@ -33,7 +33,7 @@ impl<N> Vec0<N> {
 }
 
 /// Vector of dimension 1.
-#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Show)]
+#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Show, Copy)]
 pub struct Vec1<N> {
     /// First component of the vector.
     pub x: N
@@ -82,7 +82,7 @@ num_float_vec_impl!(Vec1)
 absolute_vec_impl!(Vec1, x)
 
 /// Vector of dimension 2.
-#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
+#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show, Copy)]
 pub struct Vec2<N> {
     /// First component of the vector.
     pub x: N,
@@ -133,7 +133,7 @@ num_float_vec_impl!(Vec2)
 absolute_vec_impl!(Vec2, x, y)
 
 /// Vector of dimension 3.
-#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
+#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show, Copy)]
 pub struct Vec3<N> {
     /// First component of the vector.
     pub x: N,
@@ -187,7 +187,7 @@ absolute_vec_impl!(Vec3, x, y, z)
 
 
 /// Vector of dimension 4.
-#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
+#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show, Copy)]
 pub struct Vec4<N> {
     /// First component of the vector.
     pub x: N,
@@ -242,7 +242,7 @@ num_float_vec_impl!(Vec4)
 absolute_vec_impl!(Vec4, x, y, z, w)
 
 /// Vector of dimension 5.
-#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
+#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show, Copy)]
 pub struct Vec5<N> {
     /// First component of the vector.
     pub x: N,
@@ -299,7 +299,7 @@ num_float_vec_impl!(Vec5)
 absolute_vec_impl!(Vec5, x, y, z, w, a)
 
 /// Vector of dimension 6.
-#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
+#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show, Copy)]
 pub struct Vec6<N> {
     /// First component of the vector.
     pub x: N,

src/traits/operations.rs

@@ -4,7 +4,7 @@ use std::num::{Float, SignedInt};
 use traits::structure::SquareMat;
 
 /// Result of a partial ordering.
-#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Show)]
+#[deriving(Eq, PartialEq, Encodable, Decodable, Clone, Show, Copy)]
 pub enum POrdering {
     /// Result of a strict comparison.
     PartialLess,