Functions to build objects dont shadow constructors any more.

src/adaptors/rotmat.rs

@@ -6,9 +6,9 @@ use traits::workarounds::trigonometric::Trigonometric;
 use traits::dim::Dim;
 use traits::inv::Inv;
 use traits::transpose::Transpose;
-use dim2::mat2::Mat2;
+use dim2::mat2::{Mat2, mat2};
-use dim3::mat3::Mat3;
+use dim3::mat3::{Mat3, mat3};
-use dim3::vec3::Vec3;
+use dim3::vec3::{Vec3};
 
 // FIXME: use a newtype here?
 #[deriving(Eq)]
@@ -17,16 +17,16 @@ pub struct Rotmat<M>
   priv submat: M
 }
 
-pub fn Rotmat2<T: Copy + Trigonometric + Neg<T>>(angle: T) -> Rotmat<Mat2<T>>
+pub fn rotmat2<T: Copy + Trigonometric + Neg<T>>(angle: T) -> Rotmat<Mat2<T>>
 {
   let coa = Trigonometric::cos(angle);
   let sia = Trigonometric::sin(angle);
 
   Rotmat
-  { submat: Mat2(coa, -sia, sia, coa) }
+  { submat: mat2(coa, -sia, sia, coa) }
 }
 
-pub fn Rotmat3<T: Copy + Trigonometric + Neg<T> + One + Sub<T, T> + Add<T, T> +
+pub fn rotmat3<T: Copy + Trigonometric + Neg<T> + One + Sub<T, T> + Add<T, T> +
                   Mul<T, T>>
 (axis: &Vec3<T>, angle: T) -> Rotmat<Mat3<T>>
 {
@@ -42,7 +42,7 @@ pub fn Rotmat3<T: Copy + Trigonometric + Neg<T> + One + Sub<T, T> + Add<T, T> +
   let sin       = Trigonometric::sin(angle);
 
   Rotmat {
-    submat: Mat3(
+    submat: mat3(
       (sqx + (_1 - sqx) * cos),
       (ux * uy * one_m_cos - uz * sin),
       (ux * uz * one_m_cos + uy * sin),
@@ -60,7 +60,7 @@ pub fn Rotmat3<T: Copy + Trigonometric + Neg<T> + One + Sub<T, T> + Add<T, T> +
 impl<T:Copy + Rand + Trigonometric + Neg<T>> Rand for Rotmat<Mat2<T>>
 {
   fn rand<R: Rng>(rng: &R) -> Rotmat<Mat2<T>>
-  { Rotmat2(rng.gen()) }
+  { rotmat2(rng.gen()) }
 }
 
 impl<T:Copy + Rand + Trigonometric + Neg<T> + One + Sub<T, T> + Add<T, T> +
@@ -68,7 +68,7 @@ impl<T:Copy + Rand + Trigonometric + Neg<T> + One + Sub<T, T> + Add<T, T> +
 Rand for Rotmat<Mat3<T>>
 {
   fn rand<R: Rng>(rng: &R) -> Rotmat<Mat3<T>>
-  { Rotmat3(&rng.gen(), rng.gen()) }
+  { rotmat3(&rng.gen(), rng.gen()) }
 }
 
 impl<M: Dim> Dim for Rotmat<M>

src/adaptors/transform.rs

@@ -12,7 +12,7 @@ pub struct Transform<M, V>
   subtrans : V
 }
 
-pub fn Transform<M: Copy, V: Copy>(mat: &M, trans: &V) -> Transform<M, V>
+pub fn transform<M: Copy, V: Copy>(mat: &M, trans: &V) -> Transform<M, V>
 { Transform { submat: *mat, subtrans: *trans } }
 
 impl<M:Dim, V> Dim for Transform<M, V>
@@ -95,7 +95,7 @@ impl<T, M:FuzzyEq<T>, V:FuzzyEq<T>> FuzzyEq<T> for Transform<M, V>
 impl<M: Rand + Copy, V: Rand + Copy> Rand for Transform<M, V>
 {
   fn rand<R: Rng>(rng: &R) -> Transform<M, V>
-  { Transform(&rng.gen(), &rng.gen()) }
+  { transform(&rng.gen(), &rng.gen()) }
 }
 
 impl<M:ToStr, V:ToStr> ToStr for Transform<M, V>

src/dim1/mat1.rs

@@ -5,13 +5,13 @@ use traits::dim::Dim;
 use traits::inv::Inv;
 use traits::transpose::Transpose;
 use traits::workarounds::rlmul::{RMul, LMul};
-use dim1::vec1::Vec1;
+use dim1::vec1::{Vec1, vec1};
 
 #[deriving(Eq)]
 pub struct Mat1<T>
 { m11: T }
 
-pub fn Mat1<T:Copy>(m11: T) -> Mat1<T>
+pub fn mat1<T:Copy>(m11: T) -> Mat1<T>
 {
   Mat1
   { m11: m11 }
@@ -26,13 +26,13 @@ impl<T> Dim for Mat1<T>
 impl<T:Copy + One> One for Mat1<T>
 {
   fn one() -> Mat1<T>
-  { return Mat1(One::one()) }
+  { return mat1(One::one()) }
 }
 
 impl<T:Copy + Zero> Zero for Mat1<T>
 {
   fn zero() -> Mat1<T>
-  { Mat1(Zero::zero()) }
+  { mat1(Zero::zero()) }
 
   fn is_zero(&self) -> bool
   { self.m11.is_zero() }
@@ -41,19 +41,19 @@ impl<T:Copy + Zero> Zero for Mat1<T>
 impl<T:Copy + Mul<T, T> + Add<T, T>> Mul<Mat1<T>, Mat1<T>> for Mat1<T>
 {
   fn mul(&self, other: &Mat1<T>) -> Mat1<T>
-  { Mat1 (self.m11 * other.m11) }
+  { mat1(self.m11 * other.m11) }
 }
 
 impl<T:Copy + Add<T, T> + Mul<T, T>> RMul<Vec1<T>> for Mat1<T>
 {
   fn rmul(&self, other: &Vec1<T>) -> Vec1<T>
-  { Vec1(self.m11 * other.x) }
+  { vec1(self.m11 * other.x) }
 }
 
 impl<T:Copy + Add<T, T> + Mul<T, T>> LMul<Vec1<T>> for Mat1<T>
 {
   fn lmul(&self, other: &Vec1<T>) -> Vec1<T>
-  { Vec1(self.m11 * other.x) }
+  { vec1(self.m11 * other.x) }
 }
 
 impl<T:Copy + Mul<T, T> + Quot<T, T> + Sub<T, T> + Neg<T> + Zero + One>
@@ -97,7 +97,7 @@ impl<T:FuzzyEq<T>> FuzzyEq<T> for Mat1<T>
 impl<T:Rand + Copy> Rand for Mat1<T>
 {
   fn rand<R: Rng>(rng: &R) -> Mat1<T>
-  { Mat1(rng.gen()) }
+  { mat1(rng.gen()) }
 }
 
 impl<T:ToStr> ToStr for Mat1<T>

src/dim1/vec1.rs

@@ -11,7 +11,7 @@ use traits::workarounds::scalar_op::{ScalarMul, ScalarDiv, ScalarAdd, ScalarSub}
 pub struct Vec1<T>
 { x : T }
 
-pub fn Vec1<T:Copy>(x: T) -> Vec1<T>
+pub fn vec1<T:Copy>(x: T) -> Vec1<T>
 { Vec1 {x: x} }
 
 impl<T> Dim for Vec1<T>
@@ -23,13 +23,13 @@ impl<T> Dim for Vec1<T>
 impl<T:Copy + Add<T,T>> Add<Vec1<T>, Vec1<T>> for Vec1<T>
 {
   fn add(&self, other: &Vec1<T>) -> Vec1<T>
-  { Vec1(self.x + other.x) }
+  { vec1(self.x + other.x) }
 }
 
 impl<T:Copy + Sub<T,T>> Sub<Vec1<T>, Vec1<T>> for Vec1<T>
 {
   fn sub(&self, other: &Vec1<T>) -> Vec1<T>
-  { Vec1(self.x - other.x) }
+  { vec1(self.x - other.x) }
 }
 
 impl<T: Copy + Mul<T, T>>
@@ -89,7 +89,7 @@ Norm<T> for Vec1<T>
   { self.sqnorm().sqrt() }
 
   fn normalized(&self) -> Vec1<T>
-  { Vec1(self.x / self.norm()) }
+  { vec1(self.x / self.norm()) }
 
   fn normalize(&mut self) -> T
   {
@@ -104,7 +104,7 @@ Norm<T> for Vec1<T>
 impl<T:Copy + Neg<T>> Neg<Vec1<T>> for Vec1<T>
 {
   fn neg(&self) -> Vec1<T>
-  { Vec1(-self.x) }
+  { vec1(-self.x) }
 }
 
 impl<T:Copy + Zero> Zero for Vec1<T>
@@ -112,7 +112,7 @@ impl<T:Copy + Zero> Zero for Vec1<T>
   fn zero() -> Vec1<T>
   {
     let _0 = Zero::zero();
-    Vec1(_0)
+    vec1(_0)
   }
 
   fn is_zero(&self) -> bool
@@ -122,7 +122,7 @@ impl<T:Copy + Zero> Zero for Vec1<T>
 impl<T: Copy + One> Basis for Vec1<T>
 {
   fn canonical_basis()     -> ~[Vec1<T>]
-  { ~[ Vec1(One::one()) ] } // FIXME: this should be static
+  { ~[ vec1(One::one()) ] } // FIXME: this should be static
 
   fn orthogonal_subspace_basis(&self) -> ~[Vec1<T>]
   { ~[] }
@@ -140,7 +140,7 @@ impl<T:FuzzyEq<T>> FuzzyEq<T> for Vec1<T>
 impl<T:Rand + Copy> Rand for Vec1<T>
 {
   fn rand<R: Rng>(rng: &R) -> Vec1<T>
-  { Vec1(rng.gen()) }
+  { vec1(rng.gen()) }
 }
 
 impl<T:ToStr> ToStr for Vec1<T>

src/dim2/mat2.rs

@@ -5,7 +5,7 @@ use traits::dim::Dim;
 use traits::inv::Inv;
 use traits::transpose::Transpose;
 use traits::workarounds::rlmul::{RMul, LMul};
-use dim2::vec2::Vec2;
+use dim2::vec2::{Vec2, vec2};
 
 #[deriving(Eq)]
 pub struct Mat2<T>
@@ -14,7 +14,7 @@ pub struct Mat2<T>
     m21: T, m22: T
 }
 
-pub fn Mat2<T:Copy>(m11: T, m12: T, m21: T, m22: T) -> Mat2<T>
+pub fn mat2<T:Copy>(m11: T, m12: T, m21: T, m22: T) -> Mat2<T>
 {
   Mat2
   {
@@ -34,7 +34,7 @@ impl<T:Copy + One + Zero> One for Mat2<T>
   fn one() -> Mat2<T>
   {
     let (_0, _1) = (Zero::zero(), One::one());
-    return Mat2(_1, _0,
+    return mat2(_1, _0,
                 _0, _1)
   }
 }
@@ -44,7 +44,7 @@ impl<T:Copy + Zero> Zero for Mat2<T>
   fn zero() -> Mat2<T>
   {
     let _0 = Zero::zero();
-    return Mat2(_0, _0,
+    return mat2(_0, _0,
                 _0, _0)
   }
 
@@ -59,7 +59,7 @@ impl<T:Copy + Mul<T, T> + Add<T, T>> Mul<Mat2<T>, Mat2<T>> for Mat2<T>
 {
   fn mul(&self, other: &Mat2<T>) -> Mat2<T>
   {
-    Mat2
+    mat2
     (self.m11 * other.m11 + self.m12 * other.m21,
      self.m11 * other.m12 + self.m12 * other.m22,
      self.m21 * other.m11 + self.m22 * other.m21,
@@ -71,7 +71,7 @@ impl<T:Copy + Add<T, T> + Mul<T, T>> RMul<Vec2<T>> for Mat2<T>
 {
   fn rmul(&self, other: &Vec2<T>) -> Vec2<T>
   {
-    Vec2(
+    vec2(
       self.m11 * other.x + self.m12 * other.y,
       self.m21 * other.x + self.m22 * other.y
     )
@@ -82,7 +82,7 @@ impl<T:Copy + Add<T, T> + Mul<T, T>> LMul<Vec2<T>> for Mat2<T>
 {
   fn lmul(&self, other: &Vec2<T>) -> Vec2<T>
   {
-    Vec2(
+    vec2(
       self.m11 * other.x + self.m21 * other.y,
       self.m12 * other.x + self.m22 * other.y
     )
@@ -107,7 +107,7 @@ Inv for Mat2<T>
 
     assert!(!det.is_zero());
 
-    *self = Mat2(self.m22 / det , -self.m12 / det,
+    *self = mat2(self.m22 / det , -self.m12 / det,
                  -self.m21 / det, self.m11 / det)
   }
 }
@@ -116,7 +116,7 @@ impl<T:Copy> Transpose for Mat2<T>
 {
   fn transposed(&self) -> Mat2<T>
   {
-    Mat2(self.m11, self.m21,
+    mat2(self.m11, self.m21,
          self.m12, self.m22)
   }
 
@@ -148,7 +148,7 @@ impl<T:FuzzyEq<T>> FuzzyEq<T> for Mat2<T>
 impl<T:Rand + Copy> Rand for Mat2<T>
 {
   fn rand<R: Rng>(rng: &R) -> Mat2<T>
-  { Mat2(rng.gen(), rng.gen(), rng.gen(), rng.gen()) }
+  { mat2(rng.gen(), rng.gen(), rng.gen(), rng.gen()) }
 }
 
 impl<T:ToStr> ToStr for Mat2<T>

src/dim2/vec2.rs

@@ -6,7 +6,7 @@ use traits::dim::Dim;
 use traits::cross::Cross;
 use traits::basis::Basis;
 use traits::norm::Norm;
-use dim1::vec1::Vec1;
+use dim1::vec1::{Vec1, vec1};
 use traits::workarounds::scalar_op::{ScalarMul, ScalarDiv, ScalarAdd, ScalarSub};
 
 #[deriving(Eq)]
@@ -16,7 +16,7 @@ pub struct Vec2<T>
   y : T
 }
 
-pub fn Vec2<T:Copy>(x: T, y: T) -> Vec2<T>
+pub fn vec2<T:Copy>(x: T, y: T) -> Vec2<T>
 { Vec2 {x: x, y: y} }
 
 impl<T> Dim for Vec2<T>
@@ -28,13 +28,13 @@ impl<T> Dim for Vec2<T>
 impl<T:Copy + Add<T,T>> Add<Vec2<T>, Vec2<T>> for Vec2<T>
 {
   fn add(&self, other: &Vec2<T>) -> Vec2<T>
-  { Vec2(self.x + other.x, self.y + other.y) }
+  { vec2(self.x + other.x, self.y + other.y) }
 }
 
 impl<T:Copy + Sub<T,T>> Sub<Vec2<T>, Vec2<T>> for Vec2<T>
 {
   fn sub(&self, other: &Vec2<T>) -> Vec2<T>
-  { Vec2(self.x - other.x, self.y - other.y) }
+  { vec2(self.x - other.x, self.y - other.y) }
 }
 
 impl<T: Copy + Mul<T, T>>
@@ -109,7 +109,7 @@ Norm<T> for Vec2<T>
   {
     let l = self.norm();
 
-    Vec2(self.x / l, self.y / l)
+    vec2(self.x / l, self.y / l)
   }
 
   fn normalize(&mut self) -> T
@@ -126,13 +126,13 @@ Norm<T> for Vec2<T>
 impl<T:Copy + Mul<T, T> + Sub<T, T>> Cross<Vec1<T>> for Vec2<T>
 {
   fn cross(&self, other : &Vec2<T>) -> Vec1<T>
-  { Vec1(self.x * other.y - self.y * other.x) }
+  { vec1(self.x * other.y - self.y * other.x) }
 }
 
 impl<T:Copy + Neg<T>> Neg<Vec2<T>> for Vec2<T>
 {
   fn neg(&self) -> Vec2<T>
-  { Vec2(-self.x, -self.y) }
+  { vec2(-self.x, -self.y) }
 }
 
 impl<T:Copy + Zero> Zero for Vec2<T>
@@ -140,7 +140,7 @@ impl<T:Copy + Zero> Zero for Vec2<T>
   fn zero() -> Vec2<T>
   {
     let _0 = Zero::zero();
-    Vec2(_0, _0)
+    vec2(_0, _0)
   }
 
   fn is_zero(&self) -> bool
@@ -152,12 +152,12 @@ impl<T: Copy + One + Zero + Neg<T>> Basis for Vec2<T>
   fn canonical_basis()     -> ~[Vec2<T>]
   {
     // FIXME: this should be static
-    ~[ Vec2(One::one(), Zero::zero()),
+    ~[ vec2(One::one(), Zero::zero()),
-       Vec2(Zero::zero(), One::one()) ]
+       vec2(Zero::zero(), One::one()) ]
   }
 
   fn orthogonal_subspace_basis(&self) -> ~[Vec2<T>]
-  { ~[ Vec2(-self.y, self.x) ] }
+  { ~[ vec2(-self.y, self.x) ] }
 }
 
 impl<T:FuzzyEq<T>> FuzzyEq<T> for Vec2<T>
@@ -175,7 +175,7 @@ impl<T:FuzzyEq<T>> FuzzyEq<T> for Vec2<T>
 impl<T:Rand + Copy> Rand for Vec2<T>
 {
   fn rand<R: Rng>(rng: &R) -> Vec2<T>
-  { Vec2(rng.gen(), rng.gen()) }
+  { vec2(rng.gen(), rng.gen()) }
 }
 
 impl<T:ToStr> ToStr for Vec2<T>

src/dim3/mat3.rs

@@ -5,7 +5,7 @@ use traits::dim::Dim;
 use traits::inv::Inv;
 use traits::transpose::Transpose;
 use traits::workarounds::rlmul::{RMul, LMul};
-use dim3::vec3::Vec3;
+use dim3::vec3::{Vec3, vec3};
 
 #[deriving(Eq)]
 pub struct Mat3<T>
@@ -15,7 +15,7 @@ pub struct Mat3<T>
     m31: T, m32: T, m33: T
 }
 
-pub fn Mat3<T:Copy>(m11: T, m12: T, m13: T,
+pub fn mat3<T:Copy>(m11: T, m12: T, m13: T,
                     m21: T, m22: T, m23: T,
                     m31: T, m32: T, m33: T) -> Mat3<T>
 {
@@ -38,7 +38,7 @@ impl<T:Copy + One + Zero> One for Mat3<T>
   fn one() -> Mat3<T>
   {
     let (_0, _1) = (Zero::zero(), One::one());
-    return Mat3(_1, _0, _0,
+    return mat3(_1, _0, _0,
                 _0, _1, _0,
                 _0, _0, _1)
   }
@@ -49,7 +49,7 @@ impl<T:Copy + Zero> Zero for Mat3<T>
   fn zero() -> Mat3<T>
   {
     let _0 = Zero::zero();
-    return Mat3(_0, _0, _0,
+    return mat3(_0, _0, _0,
                 _0, _0, _0,
                 _0, _0, _0)
   }
@@ -66,7 +66,7 @@ impl<T:Copy + Mul<T, T> + Add<T, T>> Mul<Mat3<T>, Mat3<T>> for Mat3<T>
 {
   fn mul(&self, other: &Mat3<T>) -> Mat3<T>
   {
-    Mat3(
+    mat3(
       self.m11 * other.m11  + self.m12 * other.m21 + self.m13 * other.m31,
       self.m11 * other.m12  + self.m12 * other.m22 + self.m13 * other.m32,
       self.m11 * other.m13  + self.m12 * other.m23 + self.m13 * other.m33,
@@ -86,7 +86,7 @@ impl<T:Copy + Add<T, T> + Mul<T, T>> RMul<Vec3<T>> for Mat3<T>
 {
   fn rmul(&self, other: &Vec3<T>) -> Vec3<T>
   {
-    Vec3(
+    vec3(
       self.m11 * other.x + self.m12 * other.y + self.m13 * other.z,
       self.m21 * other.x + self.m22 * other.y + self.m33 * other.z,
       self.m31 * other.x + self.m32 * other.y + self.m33 * other.z
@@ -98,7 +98,7 @@ impl<T:Copy + Add<T, T> + Mul<T, T>> LMul<Vec3<T>> for Mat3<T>
 {
   fn lmul(&self, other: &Vec3<T>) -> Vec3<T>
   {
-    Vec3(
+    vec3(
       self.m11 * other.x + self.m21 * other.y + self.m31 * other.z,
       self.m12 * other.x + self.m22 * other.y + self.m32 * other.z,
       self.m13 * other.x + self.m23 * other.y + self.m33 * other.z
@@ -130,7 +130,7 @@ Inv for Mat3<T>
 
     assert!(!det.is_zero());
 
-    *self = Mat3(
+    *self = mat3(
       (minor_m22_m33  / det),
       ((self.m13 * self.m32 - self.m33 * self.m12) / det),
       ((self.m12 * self.m23 - self.m22 * self.m13) / det),
@@ -150,7 +150,7 @@ impl<T:Copy> Transpose for Mat3<T>
 {
   fn transposed(&self) -> Mat3<T>
   {
-    Mat3(self.m11, self.m21, self.m31,
+    mat3(self.m11, self.m21, self.m31,
          self.m12, self.m22, self.m32,
          self.m13, self.m23, self.m33)
   }
@@ -200,7 +200,7 @@ impl<T:Rand + Copy> Rand for Mat3<T>
 {
   fn rand<R: Rng>(rng: &R) -> Mat3<T>
   {
-    Mat3(rng.gen(), rng.gen(), rng.gen(),
+    mat3(rng.gen(), rng.gen(), rng.gen(),
          rng.gen(), rng.gen(), rng.gen(),
          rng.gen(), rng.gen(), rng.gen())
   }

src/dim3/vec3.rs

@@ -16,7 +16,7 @@ pub struct Vec3<T>
   z : T
 }
 
-pub fn Vec3<T:Copy>(x: T, y: T, z: T) -> Vec3<T>
+pub fn vec3<T:Copy>(x: T, y: T, z: T) -> Vec3<T>
 { Vec3 {x: x, y: y, z: z} }
 
 impl<T> Dim for Vec3<T>
@@ -28,13 +28,13 @@ impl<T> Dim for Vec3<T>
 impl<T:Copy + Add<T,T>> Add<Vec3<T>, Vec3<T>> for Vec3<T>
 {
   fn add(&self, other: &Vec3<T>) -> Vec3<T>
-  { Vec3(self.x + other.x, self.y + other.y, self.z + other.z) }
+  { vec3(self.x + other.x, self.y + other.y, self.z + other.z) }
 }
 
 impl<T:Copy + Sub<T,T>> Sub<Vec3<T>, Vec3<T>> for Vec3<T>
 {
   fn sub(&self, other: &Vec3<T>) -> Vec3<T>
-  { Vec3(self.x - other.x, self.y - other.y, self.z - other.z) }
+  { vec3(self.x - other.x, self.y - other.y, self.z - other.z) }
 }
 
 impl<T: Copy + Mul<T, T>>
@@ -98,7 +98,7 @@ ScalarSub<T> for Vec3<T>
 impl<T:Copy + Neg<T>> Neg<Vec3<T>> for Vec3<T>
 {
   fn neg(&self) -> Vec3<T>
-  { Vec3(-self.x, -self.y, -self.z) }
+  { vec3(-self.x, -self.y, -self.z) }
 }
 
 impl<T:Copy + Mul<T, T> + Add<T, T> + Algebraic> Dot<T> for Vec3<T>
@@ -120,7 +120,7 @@ Norm<T> for Vec3<T>
   {
     let l = self.norm();
 
-    Vec3(self.x / l, self.y / l, self.z / l)
+    vec3(self.x / l, self.y / l, self.z / l)
   }
 
   fn normalize(&mut self) -> T
@@ -139,7 +139,7 @@ impl<T:Copy + Mul<T, T> + Sub<T, T>> Cross<Vec3<T>> for Vec3<T>
 {
   fn cross(&self, other : &Vec3<T>) -> Vec3<T>
   {
-    Vec3(
+    vec3(
       self.y * other.z - self.z * other.y,
       self.z * other.x - self.x * other.z,
       self.x * other.y - self.y * other.x
@@ -152,7 +152,7 @@ impl<T:Copy + Zero> Zero for Vec3<T>
   fn zero() -> Vec3<T>
   {
     let _0 = Zero::zero();
-    Vec3(_0, _0, _0)
+    vec3(_0, _0, _0)
   }
 
   fn is_zero(&self) -> bool
@@ -166,18 +166,18 @@ Basis for Vec3<T>
   fn canonical_basis() -> ~[Vec3<T>]
   {
     // FIXME: this should be static
-    ~[ Vec3(One::one(), Zero::zero(), Zero::zero()),
+    ~[ vec3(One::one(), Zero::zero(), Zero::zero()),
-       Vec3(Zero::zero(), One::one(), Zero::zero()),
+       vec3(Zero::zero(), One::one(), Zero::zero()),
-       Vec3(Zero::zero(), Zero::zero(), One::one()) ]
+       vec3(Zero::zero(), Zero::zero(), One::one()) ]
   }
 
   fn orthogonal_subspace_basis(&self) -> ~[Vec3<T>]
   {
       let a = 
         if (abs(self.x) > abs(self.y))
-        { Vec3(self.z, Zero::zero(), -self.x).normalized() }
+        { vec3(self.z, Zero::zero(), -self.x).normalized() }
         else
-        { Vec3(Zero::zero(), -self.z, self.y).normalized() };
+        { vec3(Zero::zero(), -self.z, self.y).normalized() };
 
       ~[ a, a.cross(self) ]
   }
@@ -203,7 +203,7 @@ impl<T:FuzzyEq<T>> FuzzyEq<T> for Vec3<T>
 impl<T:Copy + Rand> Rand for Vec3<T>
 {
   fn rand<R: Rng>(rng: &R) -> Vec3<T>
-  { Vec3(rng.gen(), rng.gen(), rng.gen()) }
+  { vec3(rng.gen(), rng.gen(), rng.gen()) }
 }
 
 impl<T:ToStr> ToStr for Vec3<T>