forked from M-Labs/nalgebra
cleanups and add tests
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@ -475,11 +475,14 @@ impl<'a, T: Scalar, R: Dim, C: Dim, S: 'a + RawStorageMut<T, R, C>> DoubleEndedI
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}
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}
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impl<'a, T: Scalar, R: Dim, C: Dim, S: 'a + RawStorageMut<T, R, C>> Producer for ColumnIterMut<'a,T,R,C,S>
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where T : Send + Sync + Debug + PartialEq + Clone,
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S: Send + Sync {
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impl<'a, T: Scalar, R: Dim, C: Dim, S: 'a + RawStorageMut<T, R, C>> Producer
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for ColumnIterMut<'a, T, R, C, S>
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where
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T: Send + Sync + Debug + PartialEq + Clone,
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S: Send + Sync,
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{
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type Item = MatrixSliceMut<'a, T, R, U1, S::RStride, S::CStride>;
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type IntoIter = ColumnIterMut<'a,T,R,C,S>;
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type IntoIter = ColumnIterMut<'a, T, R, C, S>;
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fn into_iter(self) -> Self::IntoIter {
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self
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@ -488,10 +491,10 @@ where T : Send + Sync + Debug + PartialEq + Clone,
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fn split_at(self, index: usize) -> (Self, Self) {
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// the index is relative to the size of this current iterator
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// it will always start at zero
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let pmat : * mut _ = self.mat;
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let pmat: *mut _ = self.mat;
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let left = Self {
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mat: unsafe {&mut *pmat},
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mat: unsafe { &mut *pmat },
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range: self.range.start..(self.range.start + index),
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};
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@ -502,9 +505,3 @@ where T : Send + Sync + Debug + PartialEq + Clone,
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(left, right)
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}
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}
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fn test_send<T: Send>(_: T) {}
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fn something(mut matrix: DMatrix<f32>) {
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test_send(matrix.column_iter_mut());
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}
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@ -3,24 +3,18 @@
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use core::{
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fmt::Debug,
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iter::{Skip, Take},
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marker::PhantomData,
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ops::Range,
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};
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use std::os::unix::prelude::AsRawFd;
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use rayon::{
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iter::plumbing::{bridge, Producer},
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iter::plumbing::{bridge},
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prelude::*,
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};
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use crate::{
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iter::{ColumnIter, ColumnIterMut}, Const, DMatrix, Dim, Dynamic, Matrix, MatrixSlice, MatrixSliceMut,
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RawStorage, RawStorageMut, U1, SliceStorageMut,
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iter::{ColumnIter, ColumnIterMut}, DMatrix, Dim, Matrix, MatrixSlice, MatrixSliceMut,
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RawStorage, RawStorageMut, U1,
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};
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use super::conversion;
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/// a rayon parallel iterator over the columns of a matrix
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pub struct ParColumnIter<'a, T, R: Dim, Cols: Dim, S: RawStorage<T, R, Cols>> {
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mat: &'a Matrix<T, R, Cols, S>,
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@ -146,20 +140,3 @@ where
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ParColumnIterMut::new(self)
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}
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}
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#[test]
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fn test_mut_parallel_iter() {
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let mut matrix = DMatrix::<f32>::zeros(4, 3);
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matrix.par_column_iter_mut().enumerate().for_each(|(idx,mut col)| col[idx]=1f32);
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let identity = DMatrix::<f32>::identity(4, 3);
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assert_eq!(matrix,identity);
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}
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fn try_some_stuff() {
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let mut mat = DMatrix::<f32>::zeros(3, 4);
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let _left = mat.columns_mut(0, 1);
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let _right = mat.columns_mut(1, 3);
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}
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@ -1145,19 +1145,41 @@ fn column_iteration() {
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23,24,25;
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33,34,35;
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];
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// not using enumerate on purpose
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let mut idx = 0;
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for col in dmat.column_iter() {
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assert_eq!(dmat.column(idx),col);
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idx += 1;
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}
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let mut col_iter = dmat.column_iter();
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assert_eq!(col_iter.next(),Some(dmat.column(0)));
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assert_eq!(col_iter.next(),Some(dmat.column(1)));
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assert_eq!(col_iter.next(),Some(dmat.column(2)));
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assert_eq!(col_iter.next(),None);
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// statically sized matrix
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let smat: nalgebra::SMatrix<f64, 2, 2> = nalgebra::matrix![1.0, 2.0; 3.0, 4.0];
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let mut idx = 0;
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for col in smat.column_iter() {
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assert_eq!(smat.column(idx),col);
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idx += 1;
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}
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let mut col_iter = smat.column_iter();
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assert_eq!(col_iter.next(),Some(smat.column(0)));
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assert_eq!(col_iter.next(),Some(smat.column(1)));
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assert_eq!(col_iter.next(),None);
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}
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#[test]
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fn column_iteration_mut() {
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let mut dmat = nalgebra::dmatrix![
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13,14,15;
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23,24,25;
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33,34,35;
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];
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let mut cloned = dmat.clone();
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let mut col_iter = dmat.column_iter_mut();
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assert_eq!(col_iter.next(),Some(cloned.column_mut(0)));
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assert_eq!(col_iter.next(),Some(cloned.column_mut(1)));
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assert_eq!(col_iter.next(),Some(cloned.column_mut(2)));
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assert_eq!(col_iter.next(),None);
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// statically sized matrix
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let mut smat: nalgebra::SMatrix<f64, 2, 2> = nalgebra::matrix![1.0, 2.0; 3.0, 4.0];
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let mut cloned = smat.clone();
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let mut col_iter = smat.column_iter_mut();
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assert_eq!(col_iter.next(),Some(cloned.column_mut(0)));
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assert_eq!(col_iter.next(),Some(cloned.column_mut(1)));
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assert_eq!(col_iter.next(),None);
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}
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#[test]
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@ -1181,7 +1203,7 @@ fn column_iteration_double_ended() {
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fn parallel_column_iteration() {
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use rayon::prelude::*;
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use nalgebra::{dmatrix,dvector};
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let dmat = dmatrix![
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let dmat : DMatrix<f64> = dmatrix![
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13.,14.;
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23.,24.;
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33.,34.;
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@ -1193,15 +1215,11 @@ fn parallel_column_iteration() {
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});
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// test that a more complex expression produces the same
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// result as the serial equivalent
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let par_result :f64 = dmat.par_column_iter().map(|col| col.norm()).sum();
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let ser_result = dmat.column_iter().map(|col| col.norm()).sum();
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let par_result : f64 = dmat.par_column_iter().map(|col| col.norm()).sum();
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let ser_result : f64= dmat.column_iter().map(|col| col.norm()).sum();
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assert_eq!(par_result,ser_result);
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}
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#[test]
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fn column_iteration_mut() {
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todo!();
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}
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#[test]
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fn colum_iteration_mut_double_ended() {
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@ -1223,5 +1241,11 @@ fn colum_iteration_mut_double_ended() {
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#[test]
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fn parallel_column_iteration_mut() {
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todo!()
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use rayon::prelude::*;
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let mut first = DMatrix::<f32>::zeros(400,300);
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let mut second = DMatrix::<f32>::zeros(400,300);
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first.column_iter_mut().enumerate().for_each(|(idx,mut col)|col[idx]=1.);
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second.par_column_iter_mut().enumerate().for_each(|(idx,mut col)| col[idx]=1.);
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assert_eq!(first,second);
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assert_eq!(second,DMatrix::identity(400,300));
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}
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