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nalgebra
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Fix transpose_mut for square matrices. 

And add a test for it.
This commit is contained in:
Tim Kuehn 2015-08-12 16:52:55 -07:00
parent a862444c07
commit e2c21c4ae2
2 changed files with 21 additions and 7 deletions
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9
src/structs/dmat.rs
View File

@ -2,7 +2,7 @@
#![allow(missing_docs)] // we hide doc to not have to document the $trhs double dispatch trait. #![allow(missing_docs)] // we hide doc to not have to document the $trhs double dispatch trait.
use std::{cmp, mem}; use std::cmp;
use std::iter::repeat; use std::iter::repeat;
use std::ops::{Add, Sub, Mul, Div, Index, IndexMut}; use std::ops::{Add, Sub, Mul, Div, Index, IndexMut};
use std::fmt::{Debug, Display, Formatter, Result}; use std::fmt::{Debug, Display, Formatter, Result};
@ -480,16 +480,15 @@ impl<N: Clone + Copy> Transpose for DMat<N> {
#[inline] #[inline]
fn transpose_mut(&mut self) { fn transpose_mut(&mut self) {
if self.nrows == self.ncols { if self.nrows == self.ncols {
for i in 1..self.nrows { let n = self.nrows;
for j in 0..self.ncols - 1 { for i in 0..n - 1 {
for j in i + 1..n {
let off_i_j = self.offset(i, j); let off_i_j = self.offset(i, j);
let off_j_i = self.offset(j, i); let off_j_i = self.offset(j, i);
self.mij[..].swap(off_i_j, off_j_i); self.mij[..].swap(off_i_j, off_j_i);
} }
} }
mem::swap(&mut self.nrows, &mut self.ncols);
} }
else { else {
// FIXME: implement a better algorithm which does that in-place. // FIXME: implement a better algorithm which does that in-place.

19
tests/mat.rs
View File

@ -3,7 +3,7 @@ extern crate rand;
use rand::random; use rand::random;
use na::{Vec1, Vec3, Mat1, Mat2, Mat3, Mat4, Mat5, Mat6, Rot2, Rot3, Persp3, PerspMat3, Ortho3, use na::{Vec1, Vec3, Mat1, Mat2, Mat3, Mat4, Mat5, Mat6, Rot2, Rot3, Persp3, PerspMat3, Ortho3,
OrthoMat3, DMat, DVec, Row, Col, BaseFloat, Diag}; OrthoMat3, DMat, DVec, Row, Col, BaseFloat, Diag, Transpose, RowSlice};
macro_rules! test_inv_mat_impl( macro_rules! test_inv_mat_impl(
($t: ty) => ( ($t: ty) => (
@ -688,4 +688,19 @@ fn test_cholesky_mat5() {
#[test] #[test]
fn test_cholesky_mat6() { fn test_cholesky_mat6() {
test_cholesky_impl!(Mat6<f64>); test_cholesky_impl!(Mat6<f64>);
} }
#[test]
fn test_transpose_square_mat() {
let col_major_mat = &[0, 1, 2, 3,
0, 1, 2, 3,
0, 1, 2, 3,
0, 1, 2, 3];
let num_rows = 4;
let num_cols = 4;
let mut mat = DMat::from_col_vec(num_rows, num_cols, col_major_mat);
mat.transpose_mut();
for i in 0..num_rows {
assert_eq!(&[0, 1, 2, 3], mat.row_slice(i, 0, num_cols).as_slice());
}
}