Fix circular imports and subsequent build errors

Makefile

@@ -3,8 +3,8 @@
 all:
 	rustc src/om3d.rc --lib --out-dir=lib
 test: all
-	rustc --test -L lib test/*-test.rs -o test/build/test.elf
+	rustc --test -L lib test/test_om3d.rc -o test/build/test_om3d.elf
-	./test/build/test.elf
+	./test/build/test_om3d.elf
 clean:
 	rm -R -f ./lib/*
-	rm -R -f ./test/*.elf
+	rm -R -f ./test/build/*

README.md

@@ -2,27 +2,9 @@
 
 Here's some linear algebra I've been working on. I've translated it over from my unpublished D library that I was using to teach myself 3D mathematics.
 
-For some reason my makefile isn't working - it give me the following error:
-
-    rustc src/om3d.rc --lib --out-dir=lib
-    error: failed to resolve imports
-    src/quat.rs:5:7: 5:14 error: unresolved import
-    src/quat.rs:5 import mat::*;
-                         ^~~~~~~
-    src/mat.rs:5:7: 5:15 error: unresolved import
-    src/mat.rs:5 import quat::*;
-                        ^~~~~~~~
-    src/projection.rs:2:7: 2:14 error: unresolved import
-    src/projection.rs:2 import mat::*;
-                               ^~~~~~~
-    error: aborting due to 4 previous errors
-    make: *** [all] Error 101
-    
-Any assistance would be most appreciated!
-
 ## Todo:
 
-- Unittests: I have full unittest coverage on my D project so the algorithms should be correct. I just haven't implemented them in om3D-rs yet because of the unfortunate compilation issue aove. :(
+- Unittests: I have full unittest coverage on my D project so the algorithms should be correct, but this is definately top on my list.
 - Vector functions: abs, lerp, min, max
 - Matrix Inversion: ugh
 - Matrix rotation

src/mat.rs

@@ -2,7 +2,7 @@ import std::cmp::FuzzyEq;
 import cmp::Ord;
 import num::Num;
 // import to_str::ToStr;
-import quat::*;
+import quat::quat;
 import vec::*;
 
 // TODO: Unittests! I've probably made lots of mistakes...
@@ -87,14 +87,14 @@ pure fn mat2_v(col0:vec2, col1:vec2) -> mat2 {
 
 #[inline(always)]
 pure fn mat2_zero() -> mat2 {
-    mat2 (0.0, 0.0,
+    mat2(0f, 0f,
-          0.0, 0.0)
+         0f, 0f)
 }
 
 #[inline(always)]
 pure fn mat2_identity() -> mat2 {
-    mat2 (1.0, 0.0,
+    mat2(1f, 0f,
-          0.0, 1.0)
+         0f, 1f)
 }
 
 //
@@ -204,8 +204,8 @@ impl mat2: Matrix<float, vec2> {
     
     #[inline(always)]
     pure fn is_diagonal() -> bool {
-        self[0][1].fuzzy_eq(&0.0) &&
+        self[0][1].fuzzy_eq(&0f) &&
-        self[1][0].fuzzy_eq(&0.0)
+        self[1][0].fuzzy_eq(&0f)
     }
     
     #[inline(always)]
@@ -246,16 +246,16 @@ pure fn mat3_v(col0:vec3, col1:vec3, col2:vec3) -> mat3 {
 
 #[inline(always)]
 pure fn mat3_zero() -> mat3 {
-    mat3 (0.0, 0.0, 0.0,
+    mat3 (0f, 0f, 0f,
-          0.0, 0.0, 0.0,
+          0f, 0f, 0f,
-          0.0, 0.0, 0.0)
+          0f, 0f, 0f)
 }
 
 #[inline(always)]
 pure fn mat3_identity() -> mat3 {
-    mat3 (1.0, 0.0, 0.0,
+    mat3 (1f, 0f, 0f,
-          0.0, 1.0, 0.0,
+          0f, 1f, 0f,
-          0.0, 0.0, 1.0)
+          0f, 0f, 1f)
 }
 
 //
@@ -385,14 +385,14 @@ impl mat3: Matrix<float, vec3> {
     
     #[inline(always)]
     pure fn is_diagonal() -> bool {
-        self[0][1].fuzzy_eq(&0.0) &&
+        self[0][1].fuzzy_eq(&0f) &&
-        self[0][2].fuzzy_eq(&0.0) &&
+        self[0][2].fuzzy_eq(&0f) &&
         
-        self[1][0].fuzzy_eq(&0.0) &&
+        self[1][0].fuzzy_eq(&0f) &&
-        self[1][2].fuzzy_eq(&0.0) &&
+        self[1][2].fuzzy_eq(&0f) &&
         
-        self[2][0].fuzzy_eq(&0.0) &&
+        self[2][0].fuzzy_eq(&0f) &&
-        self[2][1].fuzzy_eq(&0.0)
+        self[2][1].fuzzy_eq(&0f)
     }
     
     #[inline(always)]
@@ -403,50 +403,51 @@ impl mat3: Matrix<float, vec3> {
 
 impl mat3: Matrix3<float, vec3> {
     #[inline(always)]
-    pure fn scale(&&vec:V) -> mat3 {
+    pure fn scale(&&vec:vec3) -> mat3 {
-        self.mul_m(mat3(vec.x(),       0,       0,
+        self.mul_m(mat3(vec.x(),      0f,      0f,
-                              0, vec.y(),       0,
+                             0f, vec.y(),      0f,
-                              0,       0, vec.z()))
+                             0f,      0f, vec.z()))
     }
     
     #[inline(always)]
     pure fn to_mat4() -> mat4 {
-        mat4(self[0][0], self[0][1], self[0][2], 0,
+        mat4(self[0][0], self[0][1], self[0][2],  0f,
-             self[1][0], self[1][1], self[1][2], 0,
+             self[1][0], self[1][1], self[1][2],  0f,
-             self[2][0], self[2][1], self[2][2], 0,
+             self[2][0], self[2][1], self[2][2],  0f,
-             0,          0,          0,          1)
+                     0f,         0f,         0f,  1f)
     }
     
     pure fn to_quat() -> quat {
         // Implemented using a mix of ideas from jMonkeyEngine and Ken Shoemake's
         // paper on Quaternions: http://www.cs.ucr.edu/~vbz/resources/quatut.pdf
         
-        let w:float, x:float, y:float, z:float, s:float;
+        let mut s:float;
+        let w:float, x:float, y:float, z:float;
         let trace:float = self[0][0] + self[1][1] + self[2][2];
         
-        if trace >= 0 {
+        if trace >= 0f {
-            s = sqrt(trace + 1);
+            s = sqrt(trace + 1f);
             w = 0.5 * s;
             s = 0.5 / s;
             x = self[1][2] - self[2][1] * s;
             y = self[2][0] - self[0][2] * s;
             z = self[0][1] - self[1][0] * s;
         } else if (self[0][0] > self[1][1]) && (self[0][0] > self[2][2]) {
-            s = sqrt(1 + self[0][0] - self[1][1] - self[2][2]);
+            s = sqrt(1f + self[0][0] - self[1][1] - self[2][2]);
             w = 0.5 * s;
             s = 0.5 / s;
             x = self[0][1] - self[1][0] * s;
             y = self[2][0] - self[0][2] * s;
             z = self[1][2] - self[2][1] * s;
         } else if self[1][1] > self[2][2] {
-            s = sqrt(1 + self[1][1] - self[0][0] - self[2][2]);
+            s = sqrt(1f + self[1][1] - self[0][0] - self[2][2]);
             w = 0.5 * s;
             s = 0.5 / s;
             x = self[0][1] - self[1][0] * s;
             y = self[1][2] - self[2][1] * s;
             z = self[2][0] - self[0][2] * s;
         } else {
-            s = sqrt(1 + self[2][2] - self[0][0] - self[1][1]);
+            s = sqrt(1f + self[2][2] - self[0][0] - self[1][1]);
             w = 0.5 * s;
             s = 0.5 / s;
             x = self[2][0] - self[0][2] * s;
@@ -491,18 +492,18 @@ pure fn mat4_v(col0:vec4, col1:vec4, col2:vec4, col3:vec4) -> mat4 {
 
 #[inline(always)]
 pure fn mat4_zero() -> mat4 {
-    mat4 (0.0, 0.0, 0.0, 0.0,
+    mat4 (0f, 0f, 0f, 0f,
-          0.0, 0.0, 0.0, 0.0,
+          0f, 0f, 0f, 0f,
-          0.0, 0.0, 0.0, 0.0,
+          0f, 0f, 0f, 0f,
-          0.0, 0.0, 0.0, 0.0)
+          0f, 0f, 0f, 0f)
 }
 
 #[inline(always)]
 pure fn mat4_identity() -> mat4 {
-    mat4 (1.0, 0.0, 0.0, 0.0,
+    mat4 (1f, 0f, 0f, 0f,
-          0.0, 1.0, 0.0, 0.0,
+          0f, 1f, 0f, 0f,
-          0.0, 0.0, 1.0, 0.0,
+          0f, 0f, 1f, 0f,
-          0.0, 0.0, 0.0, 1.0)
+          0f, 0f, 0f, 1f)
 }
 
 //
@@ -655,21 +656,21 @@ impl mat4: Matrix<float, vec4> {
     
     #[inline(always)]
     pure fn is_diagonal() -> bool {
-        self[0][1].fuzzy_eq(&0.0) &&
+        self[0][1].fuzzy_eq(&0f) &&
-        self[0][2].fuzzy_eq(&0.0) &&
+        self[0][2].fuzzy_eq(&0f) &&
-        self[0][3].fuzzy_eq(&0.0) &&
+        self[0][3].fuzzy_eq(&0f) &&
         
-        self[1][0].fuzzy_eq(&0.0) &&
+        self[1][0].fuzzy_eq(&0f) &&
-        self[1][2].fuzzy_eq(&0.0) &&
+        self[1][2].fuzzy_eq(&0f) &&
-        self[1][3].fuzzy_eq(&0.0) &&
+        self[1][3].fuzzy_eq(&0f) &&
         
-        self[2][0].fuzzy_eq(&0.0) &&
+        self[2][0].fuzzy_eq(&0f) &&
-        self[2][1].fuzzy_eq(&0.0) &&
+        self[2][1].fuzzy_eq(&0f) &&
-        self[2][3].fuzzy_eq(&0.0) &&
+        self[2][3].fuzzy_eq(&0f) &&
         
-        self[3][0].fuzzy_eq(&0.0) &&
+        self[3][0].fuzzy_eq(&0f) &&
-        self[3][1].fuzzy_eq(&0.0) &&
+        self[3][1].fuzzy_eq(&0f) &&
-        self[3][2].fuzzy_eq(&0.0)
+        self[3][2].fuzzy_eq(&0f)
     }
     
     #[inline(always)]
@@ -681,15 +682,15 @@ impl mat4: Matrix<float, vec4> {
 impl mat4: Matrix4<float, vec4> {
     #[inline(always)]
     pure fn scale(&&vec:vec3) -> mat4 {
-        self.mul_m(mat3(vec.x(),       0,       0, 0,
+        self.mul_m(mat4(vec.x(),       0f,      0f, 0f,
-                              0, vec.y(),       0, 0,
+                              0f, vec.y(),      0f, 0f,
-                              0,       0, vec.z(), 0,
+                              0f,      0f, vec.z(), 0f,
-                              0,       0,       0, 1))
+                              0f,      0f,      0f, 1f))
     }
     
     #[inline(always)]
     pure fn translate(&&vec:vec3) -> mat4 {
-        mat4(self[0],
+        mat4_v(self[0],
                self[1],
                self[2],
                vec4(self[3][0] + vec.x(),

src/projection.rs

@@ -1,5 +1,6 @@
 import float::consts::pi;
-import mat::*;
+import float::tan;
+import mat::mat4;
 
 //
 //  Create a perspective projection matrix
@@ -7,8 +8,8 @@ import mat::*;
 //  fov is in degrees
 //  http://www.opengl.org/wiki/GluPerspective_code
 //
-pure fn perspective(fovy:float, aspectRatio:float, near:float, fa:float) -> mat4 {
+pure fn perspective(fovy:float, aspectRatio:float, near:float, far:float) -> mat4 {
-    let ymax = near * tan(fovy * PI / 360.0);
+    let ymax = near * tan(fovy * pi / 360f);
     let xmax = ymax * aspectRatio;
     return frustum(-xmax, xmax, -ymax, ymax, near, far);
 }
@@ -21,22 +22,22 @@ pure fn perspective(fovy:float, aspectRatio:float, near:float, fa:float) -> mat4
 //  TODO: double check algorithm
 //
 pure fn frustum(left:float, right:float, bottom:float, top:float, near:float, far:float) -> mat4 {
-    let m00:float = (2*near)/(right-left);
+    let m00:float = (2f * near) / (right - left);
-    let m01:float = 0.0;
+    let m01:float = 0f;
-    let m02:float = 0.0;
+    let m02:float = 0f;
-    let m03:float = 0.0;
+    let m03:float = 0f;
-    let m10:float = 0.0;
+    let m10:float = 0f;
-    let m11:float = (2*near)/(top-bottom);
+    let m11:float = (2f * near)/(top - bottom);
-    let m12:float = 0.0;
+    let m12:float = 0f;
-    let m13:float = 0.0;
+    let m13:float = 0f;
     let m20:float = (right + left) / (right - left);
     let m21:float = (top + bottom) / (top - bottom);
     let m22:float = -(far + near) / (far - near);
-    let m23:float = -1.0;
+    let m23:float = -1f;
-    let m30:float = 0.0;
+    let m30:float = 0f;
-    let m31:float = 0.0;
+    let m31:float = 0f;
-    let m32:float = -(2*far*near)/(far-near);
+    let m32:float = -(2f * far * near) / (far - near);
-    let m33:float = 0.0;
+    let m33:float = 0f;
     
     return mat4(m00, m01, m02, m03,
                 m10, m11, m12, m13,

src/quat.rs

@@ -1,9 +1,10 @@
 import std::cmp::FuzzyEq;
 import cmp::Ord;
+import float::sqrt;
 import num::Num;
 import to_str::ToStr;
-import mat::*;
+import mat::{mat3, mat4};
-import vec::*;
+import vec::vec3;
 
 // TODO: Unittests! I've probably made lots of mistakes...
 
@@ -14,10 +15,10 @@ trait Quaternion<T:Num Ord FuzzyEq> {
     pure fn dim() -> uint;
     
     pure fn index(&&index:uint) -> T;
-    fn w() -> T;
+    pure fn w() -> T;
-    fn x() -> T;
+    pure fn x() -> T;
-    fn y() -> T;
+    pure fn y() -> T;
-    fn z() -> T;
+    pure fn z() -> T;
     
     pure fn neg() -> self;
     
@@ -53,6 +54,12 @@ trait Quaternion<T:Num Ord FuzzyEq> {
 //
 struct quat { data:[float * 4] }
 
+//
+//  Constants
+//
+#[inline(always)] pure fn quat_zero()     -> quat { quat(0f, 0f, 0f, 0f) }
+#[inline(always)] pure fn quat_identity() -> quat { quat(1f, 0f, 0f, 0f) }
+
 //
 //  Quat Constructor
 //
@@ -64,7 +71,7 @@ pure fn quat(w:float, x:float, y:float, z:float) -> quat {
 //
 //  Quaternion Implementation
 //
-impl quat<float> {
+impl quat: Quaternion<float> {
     #[inline(always)]
     pure fn dim() -> uint { 4 }
     
@@ -78,10 +85,10 @@ impl quat<float> {
         quat(-self[0], -self[1], -self[2], -self[3])
     }
     
-    #[inline(always)] fn w() -> float { self.data[0] }
+    #[inline(always)] pure fn w() -> float { self.data[0] }
-    #[inline(always)] fn x() -> float { self.data[1] }
+    #[inline(always)] pure fn x() -> float { self.data[1] }
-    #[inline(always)] fn y() -> float { self.data[2] }
+    #[inline(always)] pure fn y() -> float { self.data[2] }
-    #[inline(always)] fn z() -> float { self.data[3] }
+    #[inline(always)] pure fn z() -> float { self.data[3] }
     
     #[inline(always)]
     pure fn mul_f(&&value:float) -> quat {
@@ -146,12 +153,12 @@ impl quat<float> {
     
     #[inline(always)]
     pure fn conjugate() -> quat {
-        quat(self.w(), -self.x(), -self.y(), -self.z());
+        quat(self.w(), -self.x(), -self.y(), -self.z())
     }
     
     #[inline(always)]
     pure fn inverse() -> quat {
-        
+        self.conjugate().mul_f((1f / self.magnitude2()))
     }
     
     #[inline(always)]
@@ -164,7 +171,7 @@ impl quat<float> {
     
     #[inline(always)]
     pure fn magnitude() -> float {
-        sqrt(self.magnitude2)
+        sqrt(self.magnitude2())
     }
     
     #[inline(always)]
@@ -185,9 +192,9 @@ impl quat<float> {
         let wz2 = z2 * self.w();
         let wx2 = x2 * self.w();
         
-        return mat3(1 - yy2 - zz2,     xy2 - wz2,     xz2 + wy2,
+        return mat3(1f - yy2 - zz2,      xy2 - wz2,      xz2 + wy2,
-                        xy2 + wz2, 1 - xx2 - zz2,     yz2 - wx2,
+                         xy2 + wz2, 1f - xx2 - zz2,      yz2 - wx2,
-                        xz2 - wy2,     yz2 + wx2, 1 - xx2 - yy2);
+                         xz2 - wy2,      yz2 + wx2, 1f - xx2 - yy2);
     }
     
     #[inline(always)]

src/vec.rs

@@ -45,17 +45,17 @@ trait Vector<T:Num Ord FuzzyEq> {
 //
 trait Vector2<T:Num Ord FuzzyEq> {
     // This is where I wish rust had properties ;)
-    fn x() -> T;
+    pure fn x() -> T;
-    fn y() -> T;
+    pure fn y() -> T;
 }
 
 //
 //  3-Dimensional Vector
 //
 trait Vector3<T:Num Ord FuzzyEq> {
-    fn x() -> T;
+    pure fn x() -> T;
-    fn y() -> T;
+    pure fn y() -> T;
-    fn z() -> T;
+    pure fn z() -> T;
     
     fn cross(&&other:self) -> self;
 }
@@ -64,10 +64,10 @@ trait Vector3<T:Num Ord FuzzyEq> {
 //  4-Dimensional Vector
 //
 trait Vector4<T:Num Ord FuzzyEq> {
-    fn x() -> T;
+    pure fn x() -> T;
-    fn y() -> T;
+    pure fn y() -> T;
-    fn z() -> T;
+    pure fn z() -> T;
-    fn w() -> T;
+    pure fn w() -> T;
 }
 
 
@@ -91,17 +91,17 @@ pure fn vec2(x:float, y:float) -> vec2 {
 //
 //  Constants
 //
-#[inline(always)] pure fn vec2_zero()     -> vec2 { vec2 (0.0, 0.0) }
+#[inline(always)] pure fn vec2_zero()     -> vec2 { vec2 (0f, 0f) }
-#[inline(always)] pure fn vec2_unit_x()   -> vec2 { vec2 (1.0, 0.0) }
+#[inline(always)] pure fn vec2_unit_x()   -> vec2 { vec2 (1f, 0f) }
-#[inline(always)] pure fn vec2_unit_y()   -> vec2 { vec2 (0.0, 1.0) }
+#[inline(always)] pure fn vec2_unit_y()   -> vec2 { vec2 (0f, 1f) }
-#[inline(always)] pure fn vec2_identity() -> vec2 { vec2 (1.0, 1.0) }
+#[inline(always)] pure fn vec2_identity() -> vec2 { vec2 (1f, 1f) }
 
 //
 //  Vector2 Implementation
 //
 impl vec2: Vector2<float> {
-    #[inline(always)] fn x() -> float { self.data[0] }
+    #[inline(always)] pure fn x() -> float { self.data[0] }
-    #[inline(always)] fn y() -> float { self.data[1] }
+    #[inline(always)] pure fn y() -> float { self.data[1] }
 }
 
 //
@@ -193,7 +193,7 @@ impl vec2: Vector<float> {
     
     #[inline(always)]
     pure fn normalize() -> vec2 {
-        let n = 1.0 / self.magnitude();
+        let n = 1f / self.magnitude();
         return self.mul_f(n);
     }
 }
@@ -220,11 +220,11 @@ struct vec3 { data:[float * 3] }
 //
 //  Constants
 //
-#[inline(always)] pure fn vec3_zero()     -> vec3 { vec3(0.0, 0.0, 0.0) }
+#[inline(always)] pure fn vec3_zero()     -> vec3 { vec3(0f, 0f, 0f) }
-#[inline(always)] pure fn vec3_unit_x()   -> vec3 { vec3(1.0, 0.0, 0.0) }
+#[inline(always)] pure fn vec3_unit_x()   -> vec3 { vec3(1f, 0f, 0f) }
-#[inline(always)] pure fn vec3_unit_y()   -> vec3 { vec3(0.0, 1.0, 0.0) }
+#[inline(always)] pure fn vec3_unit_y()   -> vec3 { vec3(0f, 1f, 0f) }
-#[inline(always)] pure fn vec3_unit_z()   -> vec3 { vec3(0.0, 0.0, 1.0) }
+#[inline(always)] pure fn vec3_unit_z()   -> vec3 { vec3(0f, 0f, 1f) }
-#[inline(always)] pure fn vec3_identity() -> vec3 { vec3(1.0, 1.0, 1.0) }
+#[inline(always)] pure fn vec3_identity() -> vec3 { vec3(1f, 1f, 1f) }
 
 //
 //  Vec3 Constructor
@@ -239,9 +239,9 @@ pure fn vec3(x:float, y:float, z:float) -> vec3 {
 //  Vector3 Implementation
 //
 impl vec3: Vector3<float> {
-    #[inline(always)] fn x() -> float { self.data[0] }
+    #[inline(always)] pure fn x() -> float { self.data[0] }
-    #[inline(always)] fn y() -> float { self.data[1] }
+    #[inline(always)] pure fn y() -> float { self.data[1] }
-    #[inline(always)] fn z() -> float { self.data[2] }
+    #[inline(always)] pure fn z() -> float { self.data[2] }
     
     #[inline(always)]
     fn cross(&&other:vec3) -> vec3 {
@@ -350,7 +350,7 @@ impl vec3: Vector<float> {
     
     #[inline(always)]
     pure fn normalize() -> vec3 {
-        let n = 1.0 / self.magnitude();
+        let n = 1f / self.magnitude();
         return self.mul_f(n);
     }
 }
@@ -377,12 +377,12 @@ struct vec4 { data:[float * 4] }
 //
 //  Constants
 //
-#[inline(always)] pure fn vec4_zero()     -> vec4 { vec4(0.0, 0.0, 0.0, 0.0) }
+#[inline(always)] pure fn vec4_zero()     -> vec4 { vec4(0f, 0f, 0f, 0f) }
-#[inline(always)] pure fn vec4_unit_x()   -> vec4 { vec4(1.0, 0.0, 0.0, 0.0) }
+#[inline(always)] pure fn vec4_unit_x()   -> vec4 { vec4(1f, 0f, 0f, 0f) }
-#[inline(always)] pure fn vec4_unit_y()   -> vec4 { vec4(0.0, 1.0, 0.0, 0.0) }
+#[inline(always)] pure fn vec4_unit_y()   -> vec4 { vec4(0f, 1f, 0f, 0f) }
-#[inline(always)] pure fn vec4_unit_z()   -> vec4 { vec4(0.0, 0.0, 1.0, 0.0) }
+#[inline(always)] pure fn vec4_unit_z()   -> vec4 { vec4(0f, 0f, 1f, 0f) }
-#[inline(always)] pure fn vec4_unit_w()   -> vec4 { vec4(0.0, 0.0, 0.0, 1.0) }
+#[inline(always)] pure fn vec4_unit_w()   -> vec4 { vec4(0f, 0f, 0f, 1f) }
-#[inline(always)] pure fn vec4_identity() -> vec4 { vec4(1.0, 1.0, 1.0, 1.0) }
+#[inline(always)] pure fn vec4_identity() -> vec4 { vec4(1f, 1f, 1f, 1f) }
 
 //
 //  Vec4 Constructor
@@ -396,10 +396,10 @@ pure fn vec4(x:float, y:float, z:float, w:float) -> vec4 {
 //  Vector4 Implementation
 //
 impl vec4: Vector4<float> {
-    #[inline(always)] fn x() -> float { self.data[0] }
+    #[inline(always)] pure fn x() -> float { self.data[0] }
-    #[inline(always)] fn y() -> float { self.data[1] }
+    #[inline(always)] pure fn y() -> float { self.data[1] }
-    #[inline(always)] fn z() -> float { self.data[2] }
+    #[inline(always)] pure fn z() -> float { self.data[2] }
-    #[inline(always)] fn w() -> float { self.data[3] }
+    #[inline(always)] pure fn w() -> float { self.data[3] }
 }
 
 //
@@ -511,7 +511,7 @@ impl vec4: Vector<float> {
     
     #[inline(always)]
     pure fn normalize() -> vec4 {
-        let n = 1.0 / self.magnitude();
+        let n = 1f / self.magnitude();
         return self.mul_f(n);
     }
 }

test/test_om3d.rc

@@ -0,0 +1,14 @@
+#[link(name = "om3d-test",
+       vers = "0.1",
+       author = "Brendan Zabarauskas")];
+
+#[comment = "Unittests for om3d"];
+#[crate_type = "unittests"];
+
+use std;
+use om3d;
+
+mod test_mat;
+mod test_projection;
+mod test_quat;
+mod test_vec;

test/test_projection.rs

@@ -0,0 +1,6 @@
+// TODO
+
+#[test]
+fn test_projection() {
+    
+}

test/test_vec.rs

@@ -1,16 +1,16 @@
 // TODO
 
 #[test]
-fn test_mat2() {
+fn test_vec2() {
     
 }
 
 #[test]
-fn test_mat3() {
+fn test_vec3() {
     
 }
 
 #[test]
-fn test_mat4() {
+fn test_vec4() {
     
 }