Update to the last Rust.

Version of rustc: 0.10-pre (b8ef9fd 2014-03-31 15:51:33 -0700)

struct fields are now public by default.

src/lib.rs

@@ -98,16 +98,16 @@ Feel free to add your project to this list if you happen to use **nalgebra**!
 * [frog](https://github.com/natal/frog): a machine learning library.
 */
 
-#[crate_id = "nalgebra#0.1"];
-#[crate_type = "lib"];
-#[deny(non_camel_case_types)];
-#[deny(unnecessary_parens)];
-#[deny(non_uppercase_statics)];
-#[deny(unnecessary_qualification)];
-#[deny(unused_result)];
-#[warn(missing_doc)];
-#[feature(macro_rules)];
-#[doc(html_root_url = "http://www.rust-ci.org/sebcrozet/nalgebra/doc")];
+#![crate_id = "nalgebra#0.1"]
+#![crate_type = "lib"]
+#![deny(non_camel_case_types)]
+#![deny(unnecessary_parens)]
+#![deny(non_uppercase_statics)]
+#![deny(unnecessary_qualification)]
+#![deny(unused_result)]
+#![warn(missing_doc)]
+#![feature(macro_rules)]
+#![doc(html_root_url = "http://www.rust-ci.org/sebcrozet/nalgebra/doc")]
 
 extern crate std;
 extern crate rand;

src/structs/dmat.rs

@@ -1,6 +1,6 @@
 //! Matrix with dimensions unknown at compile-time.
 
-#[allow(missing_doc)]; // we hide doc to not have to document the $trhs double dispatch trait.
+#![allow(missing_doc)] // we hide doc to not have to document the $trhs double dispatch trait.
 
 use rand::Rand;
 use rand;
@@ -17,9 +17,9 @@ mod metal;
 /// Matrix with dimensions unknown at compile-time.
 #[deriving(TotalEq, Eq, Clone)]
 pub struct DMat<N> {
-    priv nrows: uint,
-    priv ncols: uint,
-    priv mij:   Vec<N>
+    nrows: uint,
+    ncols: uint,
+    mij:   Vec<N>
 }
 
 double_dispatch_binop_decl_trait!(DMat, DMatMulRhs)

src/structs/dvec.rs

@@ -1,6 +1,6 @@
 //! Vector with dimensions unknown at compile-time.
 
-#[allow(missing_doc)]; // we hide doc to not have to document the $trhs double dispatch trait.
+#![allow(missing_doc)] // we hide doc to not have to document the $trhs double dispatch trait.
 
 use std::num::{Zero, One, Float};
 use rand::Rand;
@@ -18,7 +18,7 @@ mod metal;
 #[deriving(TotalEq, Eq, Show, Clone)]
 pub struct DVec<N> {
     /// Components of the vector. Contains as much elements as the vector dimension.
-    at: Vec<N>
+    pub at: Vec<N>
 }
 
 double_dispatch_binop_decl_trait!(DVec, DVecMulRhs)
@@ -161,7 +161,7 @@ impl<N> IterableMut<N> for DVec<N> {
 
 impl<N> FromIterator<N> for DVec<N> {
     #[inline]
-    fn from_iterator<I: Iterator<N>>(mut param: I) -> DVec<N> {
+    fn from_iter<I: Iterator<N>>(mut param: I) -> DVec<N> {
         let mut res = DVec { at: Vec::new() };
 
         for e in param {

src/structs/iso.rs

@@ -1,6 +1,6 @@
 //! Isometric transformations.
 
-#[allow(missing_doc)];
+#![allow(missing_doc)]
 
 use std::num::{Zero, One};
 use rand::{Rand, Rng};

src/structs/iso_macros.rs

@@ -1,4 +1,4 @@
-#[macro_escape];
+#![macro_escape]
 
 macro_rules! iso_impl(
     ($t: ident, $submat: ident, $subvec: ident, $subrotvec: ident) => (

src/structs/mat.rs

@@ -1,6 +1,6 @@
 //! Matrices with dimensions known at compile-time.
 
-#[allow(missing_doc)]; // we allow missing to avoid having to document the mij components.
+#![allow(missing_doc)] // we allow missing to avoid having to document the mij components.
 
 use std::cast;
 use std::num::{One, Zero};
@@ -31,7 +31,7 @@ impl Identity {
 /// Square matrix of dimension 1.
 #[deriving(TotalEq, Eq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
 pub struct Mat1<N> {
-    m11: N
+    pub m11: N
 }
 
 double_dispatch_binop_decl_trait!(Mat1, Mat1MulRhs)
@@ -123,8 +123,8 @@ outer_impl!(Vec1, Mat1)
 /// Square matrix of dimension 2.
 #[deriving(TotalEq, Eq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
 pub struct Mat2<N> {
-    m11: N, m21: N,
-    m12: N, m22: N
+    pub m11: N, pub m21: N,
+    pub m12: N, pub m22: N
 }
 
 double_dispatch_binop_decl_trait!(Mat2, Mat2MulRhs)
@@ -220,9 +220,9 @@ outer_impl!(Vec2, Mat2)
 /// Square matrix of dimension 3.
 #[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,
-    m13: N, m23: N, m33: N
+    pub m11: N, pub m21: N, pub m31: N,
+    pub m12: N, pub m22: N, pub m32: N,
+    pub m13: N, pub m23: N, pub m33: N
 }
 
 double_dispatch_binop_decl_trait!(Mat3, Mat3MulRhs)
@@ -331,10 +331,10 @@ outer_impl!(Vec3, Mat3)
 /// Square matrix of dimension 4.
 #[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,
-    m13: N, m23: N, m33: N, m43: N,
-    m14: N, m24: N, m34: N, m44: 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,
+    pub m13: N, pub m23: N, pub m33: N, pub m43: N,
+    pub m14: N, pub m24: N, pub m34: N, pub m44: N
 }
 
 double_dispatch_binop_decl_trait!(Mat4, Mat4MulRhs)
@@ -494,11 +494,11 @@ outer_impl!(Vec4, Mat4)
 /// Square matrix of dimension 5.
 #[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,
-    m13: N, m23: N, m33: N, m43: N, m53: N,
-    m14: N, m24: N, m34: N, m44: N, m54: N,
-    m15: N, m25: N, m35: N, m45: N, m55: 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,
+    pub m13: N, pub m23: N, pub m33: N, pub m43: N, pub m53: N,
+    pub m14: N, pub m24: N, pub m34: N, pub m44: N, pub m54: N,
+    pub m15: N, pub m25: N, pub m35: N, pub m45: N, pub m55: N
 }
 
 double_dispatch_binop_decl_trait!(Mat5, Mat5MulRhs)
@@ -673,12 +673,12 @@ outer_impl!(Vec5, Mat5)
 /// Square matrix of dimension 6.
 #[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,
-    m13: N, m23: N, m33: N, m43: N, m53: N, m63: N,
-    m14: N, m24: N, m34: N, m44: N, m54: N, m64: N,
-    m15: N, m25: N, m35: N, m45: N, m55: N, m65: N,
-    m16: N, m26: N, m36: N, m46: N, m56: N, m66: 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,
+    pub m13: N, pub m23: N, pub m33: N, pub m43: N, pub m53: N, pub m63: N,
+    pub m14: N, pub m24: N, pub m34: N, pub m44: N, pub m54: N, pub m64: N,
+    pub m15: N, pub m25: N, pub m35: N, pub m45: N, pub m55: N, pub m65: N,
+    pub m16: N, pub m26: N, pub m36: N, pub m46: N, pub m56: N, pub m66: N
 }
 
 double_dispatch_binop_decl_trait!(Mat6, Mat6MulRhs)

src/structs/mat_macros.rs

@@ -1,4 +1,4 @@
-#[macro_escape];
+#![macro_escape]
 
 macro_rules! mat_impl(
   ($t: ident, $comp0: ident $(,$compN: ident)*) => (

src/structs/metal.rs

@@ -1,6 +1,6 @@
-#[macro_escape];
+#![macro_escape]
 
-#[doc(hidden)]; // we hide doc to not have to document the $trhs double dispatch trait.
+#![doc(hidden)] // we hide doc to not have to document the $trhs double dispatch trait.
 
 // Create the traits needed to do fancy operator oveloading.
 // This is a meta version of

src/structs/rot.rs

@@ -1,6 +1,6 @@
 //! Rotations matrices.
 
-#[allow(missing_doc)];
+#![allow(missing_doc)]
 
 use std::num::{Zero, One};
 use rand::{Rand, Rng};
@@ -17,7 +17,7 @@ mod rot_macros;
 /// Two dimensional rotation matrix.
 #[deriving(TotalEq, Eq, Encodable, Decodable, Clone, Show, Hash)]
 pub struct Rot2<N> {
-    priv submat: Mat2<N>
+    submat: Mat2<N>
 }
 
 impl<N: Clone + Float + Neg<N>> Rot2<N> {
@@ -95,7 +95,7 @@ impl<N: Signed> AbsoluteRotate<Vec2<N>> for Rot2<N> {
 /// Three dimensional rotation matrix.
 #[deriving(TotalEq, Eq, Encodable, Decodable, Clone, Show, Hash)]
 pub struct Rot3<N> {
-    priv submat: Mat3<N>
+    submat: Mat3<N>
 }
 
 
@@ -266,7 +266,7 @@ impl<N: Signed> AbsoluteRotate<Vec3<N>> for Rot3<N> {
 /// Four dimensional rotation matrix.
 #[deriving(TotalEq, Eq, Encodable, Decodable, Clone, Show, Hash)]
 pub struct Rot4<N> {
-    priv submat: Mat4<N>
+    submat: Mat4<N>
 }
 
 // impl<N> Rot4<N> {

src/structs/rot_macros.rs

@@ -1,4 +1,4 @@
-#[macro_escape];
+#![macro_escape]
 
 macro_rules! submat_impl(
     ($t: ident, $submat: ident) => (

src/structs/spec/primitives.rs

@@ -1,7 +1,7 @@
 //! nalgebra trait implementation for primitive types.
 
-#[allow(missing_doc)];
-#[allow(non_camel_case_types)];
+#![allow(missing_doc)]
+#![allow(non_camel_case_types)]
 
 use traits::structure::Cast;
 

src/structs/spec/vec0.rs

@@ -207,7 +207,7 @@ impl<N: One> One for vec::Vec0<N> {
 
 impl<N> FromIterator<N> for vec::Vec0<N> {
     #[inline]
-    fn from_iterator<I: Iterator<N>>(_: I) -> vec::Vec0<N> {
+    fn from_iter<I: Iterator<N>>(_: I) -> vec::Vec0<N> {
         vec::Vec0
     }
 }

src/structs/vec.rs

@@ -1,6 +1,6 @@
 //! Vectors with dimensions known at compile-time.
 
-#[allow(missing_doc)]; // we allow missing to avoid having to document the vector components.
+#![allow(missing_doc)] // we allow missing to avoid having to document the vector components.
 
 use std::cast;
 use std::num::{Zero, One, Float, Bounded};
@@ -23,7 +23,7 @@ pub struct Vec0<N>;
 #[deriving(TotalEq, Eq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
 pub struct Vec1<N> {
     /// First component of the vector.
-    x: N
+    pub x: N
 }
 
 double_dispatch_binop_decl_trait!(Vec1, Vec1MulRhs)
@@ -119,9 +119,9 @@ transform_impl!(Vec1)
 #[deriving(TotalEq, Eq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
 pub struct Vec2<N> {
     /// First component of the vector.
-    x: N,
+    pub x: N,
     /// Second component of the vector.
-    y: N
+    pub y: N
 }
 
 double_dispatch_binop_decl_trait!(Vec2, Vec2MulRhs)
@@ -217,11 +217,11 @@ transform_impl!(Vec2)
 #[deriving(TotalEq, Eq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
 pub struct Vec3<N> {
     /// First component of the vector.
-    x: N,
+    pub x: N,
     /// Second component of the vector.
-    y: N,
+    pub y: N,
     /// Third component of the vector.
-    z: N
+    pub z: N
 }
 
 double_dispatch_binop_decl_trait!(Vec3, Vec3MulRhs)
@@ -321,13 +321,13 @@ transform_impl!(Vec3)
 #[deriving(TotalEq, Eq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
 pub struct Vec4<N> {
     /// First component of the vector.
-    x: N,
+    pub x: N,
     /// Second component of the vector.
-    y: N,
+    pub y: N,
     /// Third component of the vector.
-    z: N,
+    pub z: N,
     /// Fourth component of the vector.
-    w: N
+    pub w: N
 }
 
 double_dispatch_binop_decl_trait!(Vec4, Vec4MulRhs)
@@ -423,15 +423,15 @@ transform_impl!(Vec4)
 #[deriving(TotalEq, Eq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
 pub struct Vec5<N> {
     /// First component of the vector.
-    x: N,
+    pub x: N,
     /// Second component of the vector.
-    y: N,
+    pub y: N,
     /// Third component of the vector.
-    z: N,
+    pub z: N,
     /// Fourth component of the vector.
-    w: N,
+    pub w: N,
     /// Fifth of the vector.
-    a: N
+    pub a: N
 }
 
 double_dispatch_binop_decl_trait!(Vec5, Vec5MulRhs)
@@ -527,17 +527,17 @@ transform_impl!(Vec5)
 #[deriving(TotalEq, Eq, Encodable, Decodable, Clone, Hash, Rand, Zero, Show)]
 pub struct Vec6<N> {
     /// First component of the vector.
-    x: N,
+    pub x: N,
     /// Second component of the vector.
-    y: N,
+    pub y: N,
     /// Third component of the vector.
-    z: N,
+    pub z: N,
     /// Fourth component of the vector.
-    w: N,
+    pub w: N,
     /// Fifth of the vector.
-    a: N,
+    pub a: N,
     /// Sixth component of the vector.
-    b: N
+    pub b: N
 }
 
 double_dispatch_binop_decl_trait!(Vec6, Vec6MulRhs)

src/structs/vec_macros.rs

@@ -1,4 +1,4 @@
-#[macro_escape];
+#![macro_escape]
 
 macro_rules! new_impl(
     ($t: ident, $comp0: ident $(,$compN: ident)*) => (
@@ -560,7 +560,7 @@ macro_rules! from_iterator_impl(
     ($t: ident, $param0: ident $(, $paramN: ident)*) => (
         impl<N> FromIterator<N> for $t<N> {
             #[inline]
-            fn from_iterator<I: Iterator<N>>(mut $param0: I) -> $t<N> {
+            fn from_iter<I: Iterator<N>>(mut $param0: I) -> $t<N> {
                 $t::new($param0.next().unwrap() $(, $paramN.next().unwrap())*)
             }
         }