forked from M-Labs/nalgebra
Add Rand for nmat.
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@ -1,4 +1,5 @@
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use core::num::{One, Zero};
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use core::num::{One, Zero};
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use core::rand::{Rand, Rng, RngUtil};
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use core::vec::{from_elem, swap, all, all2};
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use core::vec::{from_elem, swap, all, all2};
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use std::cmp::FuzzyEq;
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use std::cmp::FuzzyEq;
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use traits::dim::Dim;
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use traits::dim::Dim;
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@ -38,13 +39,13 @@ impl<D: Dim, T> Dim for NMat<D, T>
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{ Dim::dim::<D>() }
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{ Dim::dim::<D>() }
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}
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}
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impl<D: Dim, T:Copy> Index<(uint, uint), T> for NMat<D, T>
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impl<D: Dim, T: Copy> Index<(uint, uint), T> for NMat<D, T>
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{
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{
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fn index(&self, &(i, j): &(uint, uint)) -> T
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fn index(&self, &(i, j): &(uint, uint)) -> T
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{ self.mij[NMat::offset::<D, T>(i, j)] }
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{ self.mij[NMat::offset::<D, T>(i, j)] }
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}
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}
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impl<D: Dim, T:Copy + One + Zero> One for NMat<D, T>
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impl<D: Dim, T: Copy + One + Zero> One for NMat<D, T>
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{
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{
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fn one() -> NMat<D, T>
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fn one() -> NMat<D, T>
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{
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{
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@ -59,7 +60,7 @@ impl<D: Dim, T:Copy + One + Zero> One for NMat<D, T>
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}
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}
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}
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}
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impl<D: Dim, T:Copy + Zero> Zero for NMat<D, T>
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impl<D: Dim, T: Copy + Zero> Zero for NMat<D, T>
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{
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{
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fn zero() -> NMat<D, T>
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fn zero() -> NMat<D, T>
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{
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{
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@ -72,7 +73,7 @@ impl<D: Dim, T:Copy + Zero> Zero for NMat<D, T>
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{ all(self.mij, |e| e.is_zero()) }
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{ all(self.mij, |e| e.is_zero()) }
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}
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}
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impl<D: Dim, T:Copy + Mul<T, T> + Add<T, T> + Zero>
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impl<D: Dim, T: Copy + Mul<T, T> + Add<T, T> + Zero>
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Mul<NMat<D, T>, NMat<D, T>> for NMat<D, T>
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Mul<NMat<D, T>, NMat<D, T>> for NMat<D, T>
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{
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{
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fn mul(&self, other: &NMat<D, T>) -> NMat<D, T>
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fn mul(&self, other: &NMat<D, T>) -> NMat<D, T>
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@ -97,7 +98,7 @@ Mul<NMat<D, T>, NMat<D, T>> for NMat<D, T>
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}
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}
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}
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}
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impl<D: Dim, T:Copy + Add<T, T> + Mul<T, T> + Zero>
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impl<D: Dim, T: Copy + Add<T, T> + Mul<T, T> + Zero>
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RMul<NVec<D, T>> for NMat<D, T>
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RMul<NVec<D, T>> for NMat<D, T>
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{
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{
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fn rmul(&self, other: &NVec<D, T>) -> NVec<D, T>
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fn rmul(&self, other: &NVec<D, T>) -> NVec<D, T>
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@ -115,7 +116,7 @@ RMul<NVec<D, T>> for NMat<D, T>
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}
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}
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}
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}
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impl<D: Dim, T:Copy + Add<T, T> + Mul<T, T> + Zero>
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impl<D: Dim, T: Copy + Add<T, T> + Mul<T, T> + Zero>
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LMul<NVec<D, T>> for NMat<D, T>
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LMul<NVec<D, T>> for NMat<D, T>
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{
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{
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fn lmul(&self, other: &NVec<D, T>) -> NVec<D, T>
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fn lmul(&self, other: &NVec<D, T>) -> NVec<D, T>
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@ -241,7 +242,7 @@ impl<D: Dim, T:Copy> Transpose for NMat<D, T>
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}
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}
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}
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}
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impl<D, T:FuzzyEq<T>> FuzzyEq<T> for NMat<D, T>
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impl<D, T: FuzzyEq<T>> FuzzyEq<T> for NMat<D, T>
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{
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{
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fn fuzzy_eq(&self, other: &NMat<D, T>) -> bool
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fn fuzzy_eq(&self, other: &NMat<D, T>) -> bool
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{ all2(self.mij, other.mij, |a, b| a.fuzzy_eq(b)) }
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{ all2(self.mij, other.mij, |a, b| a.fuzzy_eq(b)) }
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@ -250,7 +251,24 @@ impl<D, T:FuzzyEq<T>> FuzzyEq<T> for NMat<D, T>
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{ all2(self.mij, other.mij, |a, b| a.fuzzy_eq_eps(b, epsilon)) }
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{ all2(self.mij, other.mij, |a, b| a.fuzzy_eq_eps(b, epsilon)) }
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}
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}
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impl<D: Dim, T:ToStr> ToStr for NMat<D, T>
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impl<D: Dim, T: Rand + Zero + Copy> Rand for NMat<D, T>
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{
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fn rand<R: Rng>(rng: &R) -> NMat<D, T>
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{
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let dim = Dim::dim::<D>();
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let mut res : NMat<D, T> = Zero::zero();
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for uint::range(0u, dim) |i|
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{
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for uint::range(0u, dim) |j|
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{ res.set(i, j, &rng.gen()); }
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}
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res
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}
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}
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impl<D: Dim, T: ToStr> ToStr for NMat<D, T>
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{
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{
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fn to_str(&self) -> ~str
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fn to_str(&self) -> ~str
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{ ~"Mat" + Dim::dim::<D>().to_str() + " {" + self.mij.to_str() + " }" }
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{ ~"Mat" + Dim::dim::<D>().to_str() + " {" + self.mij.to_str() + " }" }
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