Fix `for` loops (again) + `iterate` becomes `range`.

src/dmat.rs

@@ -1,4 +1,3 @@
-use std::uint::iterate;
 use std::num::{One, Zero};
 use std::vec::from_elem;
 use std::cmp::ApproxEq;
@@ -42,7 +41,7 @@ pub fn one_mat_with_dim<N: Clone + One + Zero>(dim: uint) -> DMat<N>
   let mut res = zero_mat_with_dim(dim);
   let     _1  = One::one::<N>();
 
-  for iterate(0u, dim) |i|
+  for i in range(0u, dim)
   { res.set(i, i, &_1); }
 
   res
@@ -98,13 +97,13 @@ Mul<DMat<N>, DMat<N>> for DMat<N>
     let     dim = self.dim;
     let mut res = zero_mat_with_dim(dim);
 
-    for iterate(0u, dim) |i|
+    for i in range(0u, dim)
     {
-      for iterate(0u, dim) |j|
+      for j in range(0u, dim)
       {
         let mut acc = Zero::zero::<N>();
 
-        for iterate(0u, dim) |k|
+        for k in range(0u, dim)
         { acc = acc + self.at(i, k) * other.at(k, j); }
 
         res.set(i, j, &acc);
@@ -125,9 +124,9 @@ RMul<DVec<N>> for DMat<N>
     let     dim           = self.dim;
     let mut res : DVec<N> = zero_vec_with_dim(dim);
 
-    for iterate(0u, dim) |i|
+    for i in range(0u, dim)
     {
-      for iterate(0u, dim) |j|
+      for j in range(0u, dim)
       { res.at[i] = res.at[i] + other.at[j] * self.at(i, j); }
     }
 
@@ -145,9 +144,9 @@ LMul<DVec<N>> for DMat<N>
     let     dim           = self.dim;
     let mut res : DVec<N> = zero_vec_with_dim(dim);
 
-    for iterate(0u, dim) |i|
+    for i in range(0u, dim)
     {
-      for iterate(0u, dim) |j|
+      for j in range(0u, dim)
       { res.at[i] = res.at[i] + other.at[j] * self.at(j, i); }
     }
 
@@ -176,7 +175,7 @@ Inv for DMat<N>
     let     _0T = Zero::zero::<N>();
 
     // inversion using Gauss-Jordan elimination
-    for iterate(0u, dim) |k|
+    for k in range(0u, dim)
     {
       // search a non-zero value on the k-th column
       // FIXME: would it be worth it to spend some more time searching for the
@@ -198,7 +197,7 @@ Inv for DMat<N>
       // swap pivot line
       if n0 != k
       {
-        for iterate(0u, dim) |j|
+        for j in range(0u, dim)
         {
           let off_n0_j = self.offset(n0, j);
           let off_k_j  = self.offset(k, j);
@@ -210,31 +209,31 @@ Inv for DMat<N>
 
       let pivot = self.at(k, k);
 
-      for iterate(k, dim) |j|
+      for j in range(k, dim)
       {
         let selfval = &(self.at(k, j) / pivot);
         self.set(k, j, selfval);
       }
 
-      for iterate(0u, dim) |j|
+      for j in range(0u, dim)
       {
         let resval  = &(res.at(k, j)   / pivot);
         res.set(k, j, resval);
       }
 
-      for iterate(0u, dim) |l|
+      for l in range(0u, dim)
       {
         if l != k
         {
           let normalizer = self.at(l, k);
 
-          for iterate(k, dim) |j|
+          for j in range(k, dim)
           {
             let selfval = &(self.at(l, j) - self.at(k, j) * normalizer);
             self.set(l, j, selfval);
           }
 
-          for iterate(0u, dim) |j|
+          for j in range(0u, dim)
           {
             let resval  = &(res.at(l, j)   - res.at(k, j)   * normalizer);
             res.set(l, j, resval);
@@ -265,9 +264,9 @@ impl<N: Clone> Transpose for DMat<N>
   {
     let dim = self.dim;
 
-    for iterate(1u, dim) |i|
+    for i in range(1u, dim)
     {
-      for iterate(0u, dim - 1) |j|
+      for j in range(0u, dim - 1)
       {
         let off_i_j = self.offset(i, j);
         let off_j_i = self.offset(j, i);

src/dvec.rs

@@ -1,4 +1,3 @@
-use std::uint::iterate;
 use std::num::{Zero, One, Algebraic};
 use std::vec::{VecIterator, VecMutIterator};
 use std::vec::from_elem;
@@ -52,7 +51,7 @@ impl<N, Iter: Iterator<N>> FromIterator<N, Iter> for DVec<N>
   {
     let mut res = DVec { at: ~[] };
 
-    foreach e in param
+    for e in param
     { res.at.push(e) }
 
     res
@@ -68,7 +67,7 @@ impl<N: Clone + DivisionRing + Algebraic + ApproxEq<N>> DVec<N>
   {
     let mut res : ~[DVec<N>] = ~[];
 
-    for iterate(0u, dim) |i|
+    for i in range(0u, dim)
     {
       let mut basis_element : DVec<N> = zero_vec_with_dim(dim);
 
@@ -89,7 +88,7 @@ impl<N: Clone + DivisionRing + Algebraic + ApproxEq<N>> DVec<N>
     let     dim              = self.at.len();
     let mut res : ~[DVec<N>] = ~[];
 
-    for iterate(0u, dim) |i|
+    for i in range(0u, dim)
     {
       let mut basis_element : DVec<N> = zero_vec_with_dim(self.at.len());
 
@@ -102,7 +101,7 @@ impl<N: Clone + DivisionRing + Algebraic + ApproxEq<N>> DVec<N>
 
       elt = elt - self.scalar_mul(&basis_element.dot(self));
 
-      foreach v in res.iter()
+      for v in res.iter()
       { elt = elt - v.scalar_mul(&elt.dot(v)) };
 
       if !elt.sqnorm().approx_eq(&Zero::zero())
@@ -156,7 +155,7 @@ Dot<N> for DVec<N>
 
     let mut res = Zero::zero::<N>();
 
-    for iterate(0u, self.at.len()) |i|
+    for i in range(0u, self.at.len())
     { res = res + self.at[i] * other.at[i]; }
 
     res
@@ -170,7 +169,7 @@ impl<N: Ring> SubDot<N> for DVec<N>
   {
     let mut res = Zero::zero::<N>();
 
-    for iterate(0u, self.at.len()) |i|
+    for i in range(0u, self.at.len())
     { res = res + (self.at[i] - a.at[i]) * b.at[i]; }
 
     res
@@ -187,7 +186,7 @@ ScalarMul<N> for DVec<N>
   #[inline]
   fn scalar_mul_inplace(&mut self, s: &N)
   {
-    for iterate(0u, self.at.len()) |i|
+    for i in range(0u, self.at.len())
     { self.at[i] = self.at[i] * *s; }
   }
 }
@@ -203,7 +202,7 @@ ScalarDiv<N> for DVec<N>
   #[inline]
   fn scalar_div_inplace(&mut self, s: &N)
   {
-    for iterate(0u, self.at.len()) |i|
+    for i in range(0u, self.at.len())
     { self.at[i] = self.at[i] / *s; }
   }
 }
@@ -218,7 +217,7 @@ ScalarAdd<N> for DVec<N>
   #[inline]
   fn scalar_add_inplace(&mut self, s: &N)
   {
-    for iterate(0u, self.at.len()) |i|
+    for i in range(0u, self.at.len())
     { self.at[i] = self.at[i] + *s; }
   }
 }
@@ -233,7 +232,7 @@ ScalarSub<N> for DVec<N>
   #[inline]
   fn scalar_sub_inplace(&mut self, s: &N)
   {
-    for iterate(0u, self.at.len()) |i|
+    for i in range(0u, self.at.len())
     { self.at[i] = self.at[i] - *s; }
   }
 }
@@ -286,7 +285,7 @@ Norm<N> for DVec<N>
   {
     let l = self.norm();
 
-    for iterate(0u, self.at.len()) |i|
+    for i in range(0u, self.at.len())
     { self.at[i] = self.at[i] / l; }
 
     l

src/mat.rs

@@ -1,7 +1,6 @@
 #[allow(missing_doc)]; // we allow missing to avoid having to document the mij components.
 
 use std::cast;
-use std::uint::iterate;
 use std::num::{One, Zero};
 use std::cmp::ApproxEq;
 use std::iterator::IteratorUtil;

src/mat_macros.rs

@@ -102,7 +102,7 @@ macro_rules! column_impl(
     {
       fn set_column(&mut self, col: uint, v: V)
       {
-        foreach (i, e) in v.iter().enumerate()
+        for (i, e) in v.iter().enumerate()
         {
           if i == Dim::dim::<$t<N>>()
           { break }
@@ -115,7 +115,7 @@ macro_rules! column_impl(
       {
         let mut res = Zero::zero::<V>();
 
-        foreach (i, e) in res.mut_iter().enumerate()
+        for (i, e) in res.mut_iter().enumerate()
         {
           if i >= Dim::dim::<$t<N>>()
           { break }
@@ -138,13 +138,13 @@ macro_rules! mul_impl(
       {
         let mut res: $t<N> = Zero::zero();
     
-        for iterate(0u, $dim) |i|
+        for i in range(0u, $dim)
         {
-          for iterate(0u, $dim) |j|
+          for j in range(0u, $dim)
           {
             let mut acc = Zero::zero::<N>();
     
-            for iterate(0u, $dim) |k|
+            for k in range(0u, $dim)
             { acc = acc + self.at((i, k)) * other.at((k, j)); }
     
             res.set((i, j), acc);
@@ -166,9 +166,9 @@ macro_rules! rmul_impl(
       {
         let mut res : $v<N> = Zero::zero();
     
-        for iterate(0u, $dim) |i|
+        for i in range(0u, $dim)
         {
-          for iterate(0u, $dim) |j|
+          for j in range(0u, $dim)
           {
             let val = res.at(i) + other.at(j) * self.at((i, j));
             res.set(i, val)
@@ -191,9 +191,9 @@ macro_rules! lmul_impl(
     
         let mut res : $v<N> = Zero::zero();
     
-        for iterate(0u, $dim) |i|
+        for i in range(0u, $dim)
         {
-          for iterate(0u, $dim) |j|
+          for j in range(0u, $dim)
           {
             let val = res.at(i) + other.at(j) * self.at((j, i));
             res.set(i, val)
@@ -250,7 +250,7 @@ macro_rules! inv_impl(
         let     _0N: N     = Zero::zero();
     
         // inversion using Gauss-Jordan elimination
-        for iterate(0u, $dim) |k|
+        for k in range(0u, $dim)
         {
           // search a non-zero value on the k-th column
           // FIXME: would it be worth it to spend some more time searching for the
@@ -272,7 +272,7 @@ macro_rules! inv_impl(
           // swap pivot line
           if n0 != k
           {
-            for iterate(0u, $dim) |j|
+            for j in range(0u, $dim)
             {
               self.swap((n0, j), (k, j));
               res.swap((n0, j), (k, j));
@@ -281,31 +281,31 @@ macro_rules! inv_impl(
     
           let pivot = self.at((k, k));
     
-          for iterate(k, $dim) |j|
+          for j in range(k, $dim)
           {
             let selfval = self.at((k, j)) / pivot;
             self.set((k, j), selfval);
           }
     
-          for iterate(0u, $dim) |j|
+          for j in range(0u, $dim)
           {
             let resval = res.at((k, j)) / pivot;
             res.set((k, j), resval);
           }
     
-          for iterate(0u, $dim) |l|
+          for l in range(0u, $dim)
           {
             if l != k
             {
               let normalizer = self.at((l, k));
     
-              for iterate(k, $dim) |j|
+              for j in range(k, $dim)
               {
                 let selfval = self.at((l, j)) - self.at((k, j)) * normalizer;
                 self.set((l, j), selfval);
               }
     
-              for iterate(0u, $dim) |j|
+              for j in range(0u, $dim)
               {
                 let resval  = res.at((l, j)) - res.at((k, j)) * normalizer;
                 res.set((l, j), resval);
@@ -338,9 +338,9 @@ macro_rules! transpose_impl(
     
       fn transpose(&mut self)
       {
-        for iterate(1u, $dim) |i|
+        for i in range(1u, $dim)
         {
-          for iterate(0u, i) |j|
+          for j in range(0u, i)
           { self.swap((i, j), (j, i)) }
         }
       }
@@ -383,9 +383,9 @@ macro_rules! to_homogeneous_impl(
       {
         let mut res: $t2<N> = One::one();
 
-        for iterate(0, $dim) |i|
+        for i in range(0u, $dim)
         {
-          for iterate(0, $dim) |j|
+          for j in range(0u, $dim)
           { res.set((i, j), self.at((i, j))) }
         }
 
@@ -403,9 +403,9 @@ macro_rules! from_homogeneous_impl(
       {
         let mut res: $t<N> = One::one();
 
-        for iterate(0, $dim2) |i|
+        for i in range(0u, $dim2)
         {
-          for iterate(0, $dim2) |j|
+          for j in range(0u, $dim2)
           { res.set((i, j), m.at((i, j))) }
         }
 

src/tests/vec.rs

@@ -31,7 +31,7 @@ macro_rules! test_iterator_impl(
 
       let nv: $t = v.iter().transform(|e| e * n).collect();
 
-      foreach e in mv.mut_iter()
+      for e in mv.mut_iter()
       { *e = *e * n }
 
       assert!(nv == mv && nv == v.scalar_mul(&n));

src/vec.rs

@@ -4,7 +4,6 @@ use std::rand::Rng;
 use std::vec::{VecIterator, VecMutIterator};
 use std::iterator::{Iterator, FromIterator};
 use std::cmp::ApproxEq;
-use std::uint::iterate;
 use traits::basis::Basis;
 use traits::dim::Dim;
 use traits::translation::{Translation, Translatable};

src/vec_macros.rs

@@ -132,7 +132,7 @@ macro_rules! basis_impl(
     {
       pub fn canonical_basis(f: &fn($t<N>))
       {
-        for iterate(0u, $dim) |i|
+        for i in range(0u, $dim)
         {
           let mut basis_element : $t<N> = Zero::zero();
     
@@ -148,7 +148,7 @@ macro_rules! basis_impl(
         // orthogonalization algorithm
         let mut basis: ~[$t<N>] = ~[];
     
-        for iterate(0u, $dim) |i|
+        for i in range(0u, $dim)
         {
           let mut basis_element : $t<N> = Zero::zero();
     
@@ -161,7 +161,7 @@ macro_rules! basis_impl(
     
           elt = elt - self.scalar_mul(&basis_element.dot(self));
     
-          foreach v in basis.iter()
+          for v in basis.iter()
           { elt = elt - v.scalar_mul(&elt.dot(v)) };
     
           if !elt.sqnorm().approx_eq(&Zero::zero())

src/vec_spec.rs

@@ -150,7 +150,7 @@ impl UniformSphereSample for Vec2<f64>
 {
   pub fn sample(f: &fn(&'static Vec2<f64>))
   {
-    foreach sample in SAMPLES_2_F64.iter()
+    for sample in SAMPLES_2_F64.iter()
     { f(sample) }
   }
 }
@@ -159,7 +159,7 @@ impl UniformSphereSample for Vec3<f64>
 {
   pub fn sample(f: &fn(&'static Vec3<f64>))
   {
-    foreach sample in SAMPLES_3_F64.iter()
+    for sample in SAMPLES_3_F64.iter()
     { f(sample) }
   }
 }