Adapted to new vec iterator api.

src/ndim/dmat.rs

@@ -1,7 +1,8 @@
 use std::uint::iterate;
 use std::num::{One, Zero};
-use std::vec::{from_elem, swap, all, all2, len};
+use std::vec::{from_elem, swap};
 use std::cmp::ApproxEq;
+use std::iterator::IteratorUtil;
 use traits::inv::Inv;
 use traits::division_ring::DivisionRing;
 use traits::transpose::Transpose;
@@ -19,7 +20,7 @@ pub fn zero_mat_with_dim<T: Zero + Copy>(dim: uint) -> DMat<T>
 { DMat { dim: dim, mij: from_elem(dim * dim, Zero::zero()) } }
 
 pub fn is_zero_mat<T: Zero>(mat: &DMat<T>) -> bool
-{ all(mat.mij, |e| e.is_zero()) }
+{ mat.mij.all(|e| e.is_zero()) }
 
 pub fn one_mat_with_dim<T: Copy + One + Zero>(dim: uint) -> DMat<T>
 {
@@ -90,7 +91,7 @@ RMul<DVec<T>> for DMat<T>
 {
   fn rmul(&self, other: &DVec<T>) -> DVec<T>
   {
-    assert!(self.dim == len(other.at));
+    assert!(self.dim == other.at.len());
 
     let     dim           = self.dim;
     let mut res : DVec<T> = zero_vec_with_dim(dim);
@@ -110,7 +111,7 @@ LMul<DVec<T>> for DMat<T>
 {
   fn lmul(&self, other: &DVec<T>) -> DVec<T>
   {
-    assert!(self.dim == len(other.at));
+    assert!(self.dim == other.at.len());
 
     let     dim           = self.dim;
     let mut res : DVec<T> = zero_vec_with_dim(dim);
@@ -248,8 +249,16 @@ impl<T: ApproxEq<T>> ApproxEq<T> for DMat<T>
   { ApproxEq::approx_epsilon::<T, T>() }
 
   fn approx_eq(&self, other: &DMat<T>) -> bool
-  { all2(self.mij, other.mij, |a, b| a.approx_eq(b)) }
+  {
+    let mut zip = self.mij.iter().zip(other.mij.iter());
+
+    do zip.all |(a, b)| { a.approx_eq(b) }
+  }
 
   fn approx_eq_eps(&self, other: &DMat<T>, epsilon: &T) -> bool
-  { all2(self.mij, other.mij, |a, b| a.approx_eq_eps(b, epsilon)) }
+  {
+    let mut zip = self.mij.iter().zip(other.mij.iter());
+
+    do zip.all |(a, b)| { a.approx_eq_eps(b, epsilon) }
+  }
 }

src/ndim/dvec.rs

@@ -1,7 +1,8 @@
 use std::uint::iterate;
 use std::num::{Zero, One, Algebraic};
-use std::vec::{map_zip, map, all2, len, from_elem, all};
+use std::vec::{map_zip, map, from_elem};
 use std::cmp::ApproxEq;
+use std::iterator::IteratorUtil;
 use traits::ring::Ring;
 use traits::division_ring::DivisionRing;
 use traits::dot::Dot;
@@ -20,7 +21,7 @@ pub fn zero_vec_with_dim<T: Zero + Copy>(dim: uint) -> DVec<T>
 { DVec { at: from_elem(dim, Zero::zero::<T>()) } }
 
 pub fn is_zero_vec<T: Zero>(vec: &DVec<T>) -> bool
-{ all(vec.at, |e| e.is_zero()) }
+{ vec.at.all(|e| e.is_zero()) }
 
 // FIXME: is Clone needed?
 impl<T: Copy + DivisionRing + Algebraic + Clone + ApproxEq<T>> DVec<T>
@@ -45,12 +46,12 @@ impl<T: Copy + DivisionRing + Algebraic + Clone + ApproxEq<T>> DVec<T>
   {
     // compute the basis of the orthogonal subspace using Gram-Schmidt
     // orthogonalization algorithm
-    let     dim              = len(self.at);
+    let     dim              = self.at.len();
     let mut res : ~[DVec<T>] = ~[];
 
     for iterate(0u, dim) |i|
     {
-      let mut basis_element : DVec<T> = zero_vec_with_dim(len(self.at));
+      let mut basis_element : DVec<T> = zero_vec_with_dim(self.at.len());
 
       basis_element.at[i] = One::one();
 
@@ -78,7 +79,7 @@ impl<T: Copy + Add<T,T>> Add<DVec<T>, DVec<T>> for DVec<T>
 {
   fn add(&self, other: &DVec<T>) -> DVec<T>
   {
-    assert!(len(self.at) == len(other.at));
+    assert!(self.at.len() == other.at.len());
     DVec { at: map_zip(self.at, other.at, | a, b | { *a + *b }) }
   }
 }
@@ -87,7 +88,7 @@ impl<T: Copy + Sub<T,T>> Sub<DVec<T>, DVec<T>> for DVec<T>
 {
   fn sub(&self, other: &DVec<T>) -> DVec<T>
   {
-    assert!(len(self.at) == len(other.at));
+    assert!(self.at.len() == other.at.len());
     DVec { at: map_zip(self.at, other.at, | a, b | *a - *b) }
   }
 }
@@ -103,11 +104,11 @@ Dot<T> for DVec<T>
 {
   fn dot(&self, other: &DVec<T>) -> T
   {
-    assert!(len(self.at) == len(other.at));
+    assert!(self.at.len() == other.at.len());
 
     let mut res = Zero::zero::<T>();
 
-    for iterate(0u, len(self.at)) |i|
+    for iterate(0u, self.at.len()) |i|
     { res += self.at[i] * other.at[i]; }
 
     res
@@ -120,7 +121,7 @@ impl<T: Copy + Ring> SubDot<T> for DVec<T>
   {
     let mut res = Zero::zero::<T>();
 
-    for iterate(0u, len(self.at)) |i|
+    for iterate(0u, self.at.len()) |i|
     { res += (self.at[i] - a.at[i]) * b.at[i]; }
 
     res
@@ -135,7 +136,7 @@ ScalarMul<T> for DVec<T>
 
   fn scalar_mul_inplace(&mut self, s: &T)
   {
-    for iterate(0u, len(self.at)) |i|
+    for iterate(0u, self.at.len()) |i|
     { self.at[i] *= *s; }
   }
 }
@@ -149,7 +150,7 @@ ScalarDiv<T> for DVec<T>
 
   fn scalar_div_inplace(&mut self, s: &T)
   {
-    for iterate(0u, len(self.at)) |i|
+    for iterate(0u, self.at.len()) |i|
     { self.at[i] /= *s; }
   }
 }
@@ -162,7 +163,7 @@ ScalarAdd<T> for DVec<T>
 
   fn scalar_add_inplace(&mut self, s: &T)
   {
-    for iterate(0u, len(self.at)) |i|
+    for iterate(0u, self.at.len()) |i|
     { self.at[i] += *s; }
   }
 }
@@ -175,7 +176,7 @@ ScalarSub<T> for DVec<T>
 
   fn scalar_sub_inplace(&mut self, s: &T)
   {
-    for iterate(0u, len(self.at)) |i|
+    for iterate(0u, self.at.len()) |i|
     { self.at[i] -= *s; }
   }
 }
@@ -214,7 +215,7 @@ Norm<T> for DVec<T>
   {
     let l = self.norm();
 
-    for iterate(0u, len(self.at)) |i|
+    for iterate(0u, self.at.len()) |i|
     { self.at[i] /= l; }
 
     l
@@ -227,8 +228,16 @@ impl<T: ApproxEq<T>> ApproxEq<T> for DVec<T>
   { ApproxEq::approx_epsilon::<T, T>() }
 
   fn approx_eq(&self, other: &DVec<T>) -> bool
-  { all2(self.at, other.at, |a, b| a.approx_eq(b)) }
+  {
+    let mut zip = self.at.iter().zip(other.at.iter());
+
+    do zip.all |(a, b)| { a.approx_eq(b) }
+  }
 
   fn approx_eq_eps(&self, other: &DVec<T>, epsilon: &T) -> bool
-  { all2(self.at, other.at, |a, b| a.approx_eq_eps(b, epsilon)) }
+  {
+    let mut zip = self.at.iter().zip(other.at.iter());
+
+    do zip.all |(a, b)| { a.approx_eq_eps(b, epsilon) }
+  }
 }

src/tests/vec.rs

@@ -1,10 +1,10 @@
 #[test]
+use std::iterator::IteratorUtil;
+#[test]
 use std::num::{Zero, One};
 #[test]
 use std::rand::{random};
 #[test]
-use std::vec::{all, all2};
-#[test]
 use std::cmp::ApproxEq;
 #[test]
 use dim3::vec3::Vec3;
@@ -44,9 +44,14 @@ macro_rules! test_basis_impl(
       let basis = Basis::canonical_basis::<$t>();
 
       // check vectors form an ortogonal basis
-      assert!(all2(basis, basis, |e1, e2| e1 == e2 || e1.dot(e2).approx_eq(&Zero::zero())));
+      assert!(
+        do basis.iter().zip(basis.iter()).all
+        |(e1, e2)| { e1 == e2 || e1.dot(e2).approx_eq(&Zero::zero()) }
+      );
       // check vectors form an orthonormal basis
-      assert!(all(basis, |e| e.norm().approx_eq(&One::one())));
+      assert!(
+        do basis.iter().all |e| { e.norm().approx_eq(&One::one()) }
+      );
     }
   );
 )
@@ -56,15 +61,22 @@ macro_rules! test_subspace_basis_impl(
     for 10000.times
     {
       let v : Vec3<f64> = random();
-      let v1 = v.normalized();
-      let subbasis = v1.orthogonal_subspace_basis();
+      let v1            = v.normalized();
+      let subbasis      = v1.orthogonal_subspace_basis();
 
       // check vectors are orthogonal to v1
-      assert!(all(subbasis, |e| v1.dot(e).approx_eq(&Zero::zero())));
+      assert!(
+        do subbasis.iter().all |e| { v1.dot(e).approx_eq(&Zero::zero()) }
+      );
       // check vectors form an ortogonal basis
-      assert!(all2(subbasis, subbasis, |e1, e2| e1 == e2 || e1.dot(e2).approx_eq(&Zero::zero())));
+      assert!(
+        do subbasis.iter().zip(subbasis.iter()).all
+           |(e1, e2)| { e1 == e2 || e1.dot(e2).approx_eq(&Zero::zero()) }
+      );
       // check vectors form an orthonormal basis
-      assert!(all(subbasis, |e| e.norm().approx_eq(&One::one())));
+      assert!(
+        do subbasis.iter().all |e| { e.norm().approx_eq(&One::one()) }
+      );
     }
   );
 )