forked from M-Labs/nalgebra
Fix transpose_mut for square matrices.
And add a test for it.
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@ -2,7 +2,7 @@
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#![allow(missing_docs)] // we hide doc to not have to document the $trhs double dispatch trait.
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#![allow(missing_docs)] // we hide doc to not have to document the $trhs double dispatch trait.
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use std::{cmp, mem};
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use std::cmp;
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use std::iter::repeat;
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use std::iter::repeat;
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use std::ops::{Add, Sub, Mul, Div, Index, IndexMut};
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use std::ops::{Add, Sub, Mul, Div, Index, IndexMut};
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use std::fmt::{Debug, Display, Formatter, Result};
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use std::fmt::{Debug, Display, Formatter, Result};
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@ -480,16 +480,15 @@ impl<N: Clone + Copy> Transpose for DMat<N> {
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#[inline]
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#[inline]
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fn transpose_mut(&mut self) {
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fn transpose_mut(&mut self) {
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if self.nrows == self.ncols {
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if self.nrows == self.ncols {
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for i in 1..self.nrows {
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let n = self.nrows;
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for j in 0..self.ncols - 1 {
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for i in 0..n - 1 {
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for j in i + 1..n {
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let off_i_j = self.offset(i, j);
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let off_i_j = self.offset(i, j);
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let off_j_i = self.offset(j, i);
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let off_j_i = self.offset(j, i);
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self.mij[..].swap(off_i_j, off_j_i);
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self.mij[..].swap(off_i_j, off_j_i);
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}
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}
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}
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}
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mem::swap(&mut self.nrows, &mut self.ncols);
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}
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}
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else {
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else {
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// FIXME: implement a better algorithm which does that in-place.
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// FIXME: implement a better algorithm which does that in-place.
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19
tests/mat.rs
19
tests/mat.rs
@ -3,7 +3,7 @@ extern crate rand;
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use rand::random;
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use rand::random;
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use na::{Vec1, Vec3, Mat1, Mat2, Mat3, Mat4, Mat5, Mat6, Rot2, Rot3, Persp3, PerspMat3, Ortho3,
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use na::{Vec1, Vec3, Mat1, Mat2, Mat3, Mat4, Mat5, Mat6, Rot2, Rot3, Persp3, PerspMat3, Ortho3,
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OrthoMat3, DMat, DVec, Row, Col, BaseFloat, Diag};
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OrthoMat3, DMat, DVec, Row, Col, BaseFloat, Diag, Transpose, RowSlice};
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macro_rules! test_inv_mat_impl(
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macro_rules! test_inv_mat_impl(
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($t: ty) => (
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($t: ty) => (
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@ -688,4 +688,19 @@ fn test_cholesky_mat5() {
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#[test]
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#[test]
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fn test_cholesky_mat6() {
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fn test_cholesky_mat6() {
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test_cholesky_impl!(Mat6<f64>);
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test_cholesky_impl!(Mat6<f64>);
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}
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}
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#[test]
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fn test_transpose_square_mat() {
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let col_major_mat = &[0, 1, 2, 3,
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0, 1, 2, 3,
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0, 1, 2, 3,
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0, 1, 2, 3];
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let num_rows = 4;
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let num_cols = 4;
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let mut mat = DMat::from_col_vec(num_rows, num_cols, col_major_mat);
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mat.transpose_mut();
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for i in 0..num_rows {
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assert_eq!(&[0, 1, 2, 3], mat.row_slice(i, 0, num_cols).as_slice());
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}
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}
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