forked from M-Labs/nalgebra
revert some things and add poc for mut and immut iterators
This commit is contained in:
parent
9a3bebc5c0
commit
0fcd9dd702
@ -101,7 +101,7 @@ glam020 = { package = "glam", version = "0.20", optional = true }
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glam021 = { package = "glam", version = "0.21", optional = true }
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glam022 = { package = "glam", version = "0.22", optional = true }
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cust_core = { version = "0.1", optional = true }
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rayon = "1.5" # TODO make this feature gated
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[dev-dependencies]
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serde_json = "1.0"
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165
src/base/iter.rs
165
src/base/iter.rs
@ -1,12 +1,17 @@
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//! Matrix iterators.
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use core::fmt::Debug;
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use core::ops::Range;
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use std::iter::FusedIterator;
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use std::marker::PhantomData;
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use std::mem;
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use rayon::iter::plumbing::Producer;
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use crate::base::dimension::{Dim, U1};
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use crate::base::storage::{RawStorage, RawStorageMut};
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use crate::base::{Matrix, MatrixView, MatrixViewMut, Scalar};
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use crate::{DMatrix, DimMax};
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macro_rules! iterator {
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(struct $Name:ident for $Storage:ident.$ptr: ident -> $Ptr:ty, $Ref:ty, $SRef: ty) => {
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@ -288,7 +293,6 @@ impl<'a, T: Scalar, R: Dim, C: Dim, S: 'a + RawStorageMut<T, R, C>> ExactSizeIte
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}
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/*
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*
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* Column iterators.
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*
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*/
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@ -296,12 +300,25 @@ impl<'a, T: Scalar, R: Dim, C: Dim, S: 'a + RawStorageMut<T, R, C>> ExactSizeIte
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/// An iterator through the columns of a matrix.
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pub struct ColumnIter<'a, T, R: Dim, C: Dim, S: RawStorage<T, R, C>> {
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mat: &'a Matrix<T, R, C, S>,
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curr: usize,
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range: Range<usize>,
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}
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impl<'a, T, R: Dim, C: Dim, S: 'a + RawStorage<T, R, C>> ColumnIter<'a, T, R, C, S> {
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/// a new column iterator covering all columns of the matrix
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pub(crate) fn new(mat: &'a Matrix<T, R, C, S>) -> Self {
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ColumnIter { mat, curr: 0 }
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ColumnIter {
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mat,
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range: 0..mat.ncols(),
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}
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}
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/// a new column iterator covering column indices [begin,end)
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/// where begin is included in the range but index end is not
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/// begin must lie in [0,ncols] and end must lie in [0,ncols].
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pub(crate) fn with_range(mat: &'a Matrix<T, R, C, S>, range: Range<usize>) -> Self {
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debug_assert!(range.end <= mat.ncols());
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debug_assert!(range.start < mat.ncols());
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debug_assert!(range.start <= range.end);
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Self { mat, range }
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}
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}
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@ -310,9 +327,10 @@ impl<'a, T, R: Dim, C: Dim, S: 'a + RawStorage<T, R, C>> Iterator for ColumnIter
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#[inline]
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fn next(&mut self) -> Option<Self::Item> {
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if self.curr < self.mat.ncols() {
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let res = self.mat.column(self.curr);
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self.curr += 1;
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debug_assert!(self.range.start <= self.range.end);
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if self.range.start < self.range.end {
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let res = self.mat.column(self.range.start);
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self.range.start += 1;
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Some(res)
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} else {
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None
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@ -321,15 +339,29 @@ impl<'a, T, R: Dim, C: Dim, S: 'a + RawStorage<T, R, C>> Iterator for ColumnIter
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#[inline]
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fn size_hint(&self) -> (usize, Option<usize>) {
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(
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self.mat.ncols() - self.curr,
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Some(self.mat.ncols() - self.curr),
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)
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let hint = self.range.len();
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(hint, Some(hint))
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}
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#[inline]
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fn count(self) -> usize {
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self.mat.ncols() - self.curr
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self.range.len()
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}
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}
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impl<'a, T, R: Dim, C: Dim, S: 'a + RawStorage<T, R, C>> DoubleEndedIterator
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for ColumnIter<'a, T, R, C, S>
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{
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fn next_back(&mut self) -> Option<Self::Item> {
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debug_assert!(self.range.start <= self.range.end);
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if !self.range.is_empty() {
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self.range.end -= 1;
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debug_assert!(self.range.end < self.mat.ncols());
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debug_assert!(self.range.end >= self.range.start);
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Some(self.mat.column(self.range.end))
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} else {
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None
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}
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}
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}
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@ -338,29 +370,53 @@ impl<'a, T: Scalar, R: Dim, C: Dim, S: 'a + RawStorage<T, R, C>> ExactSizeIterat
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{
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#[inline]
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fn len(&self) -> usize {
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self.mat.ncols() - self.curr
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self.range.end - self.range.start
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}
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}
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impl<'a, T, R: Dim, Cols: Dim, S: RawStorage<T, R, Cols>> Producer for ColumnIter<'a, T, R, Cols, S>
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where
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T: Send + Sync + Debug + PartialEq + Clone + 'static,
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S: Sync,
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{
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type Item = MatrixSlice<'a, T, R, U1, S::RStride, S::CStride>;
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type IntoIter = ColumnIter<'a, T, R, Cols, S>;
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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 left = Self {
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mat: self.mat,
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range: self.range.start..(self.range.start + index),
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};
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let right = Self {
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mat: self.mat,
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range: (self.range.start + index)..self.range.end,
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};
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(left, right)
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}
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fn into_iter(self) -> Self::IntoIter {
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self
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}
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}
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/// An iterator through the mutable columns of a matrix.
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#[derive(Debug)]
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pub struct ColumnIterMut<'a, T, R: Dim, C: Dim, S: RawStorageMut<T, R, C>> {
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mat: *mut Matrix<T, R, C, S>,
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curr: usize,
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phantom: PhantomData<&'a mut Matrix<T, R, C, S>>,
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mat: &'a mut Matrix<T, R, C, S>,
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range: Range<usize>,
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}
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impl<'a, T, R: Dim, C: Dim, S: 'a + RawStorageMut<T, R, C>> ColumnIterMut<'a, T, R, C, S> {
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pub(crate) fn new(mat: &'a mut Matrix<T, R, C, S>) -> Self {
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ColumnIterMut {
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mat,
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curr: 0,
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phantom: PhantomData,
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}
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let range = 0..mat.ncols();
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ColumnIterMut { mat, range }
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}
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fn ncols(&self) -> usize {
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unsafe { (*self.mat).ncols() }
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self.mat.ncols()
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}
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}
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@ -370,10 +426,11 @@ impl<'a, T, R: Dim, C: Dim, S: 'a + RawStorageMut<T, R, C>> Iterator
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type Item = MatrixViewMut<'a, T, R, U1, S::RStride, S::CStride>;
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#[inline]
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fn next(&mut self) -> Option<Self::Item> {
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if self.curr < self.ncols() {
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let res = unsafe { (*self.mat).column_mut(self.curr) };
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self.curr += 1;
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fn next(&'_ mut self) -> Option<Self::Item> {
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if self.range.start < self.ncols() {
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let pmat: *mut _ = self.mat;
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let res = unsafe { (*pmat).column_mut(self.range.start) };
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self.range.start += 1;
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Some(res)
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} else {
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None
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@ -382,12 +439,13 @@ impl<'a, T, R: Dim, C: Dim, S: 'a + RawStorageMut<T, R, C>> Iterator
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#[inline]
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fn size_hint(&self) -> (usize, Option<usize>) {
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(self.ncols() - self.curr, Some(self.ncols() - self.curr))
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let hint = self.range.len();
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(hint, Some(hint))
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}
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#[inline]
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fn count(self) -> usize {
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self.ncols() - self.curr
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self.range.len()
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}
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}
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@ -396,6 +454,57 @@ impl<'a, T: Scalar, R: Dim, C: Dim, S: 'a + RawStorageMut<T, R, C>> ExactSizeIte
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{
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#[inline]
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fn len(&self) -> usize {
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self.ncols() - self.curr
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self.range.len()
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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>> DoubleEndedIterator
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for ColumnIterMut<'a, T, R, C, S>
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{
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fn next_back(&mut self) -> Option<Self::Item> {
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debug_assert!(self.range.start <= self.range.end);
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if !self.range.is_empty() {
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self.range.end -= 1;
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debug_assert!(self.range.end < unsafe { (*self.mat).ncols() });
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debug_assert!(self.range.end >= self.range.start);
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let pmat: *mut _ = self.mat;
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Some(unsafe { (*pmat).column_mut(self.range.end) })
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} else {
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None
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}
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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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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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fn into_iter(self) -> Self::IntoIter {
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self
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}
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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 left = Self {
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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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let right = Self {
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mat: self.mat,
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range: (self.range.start + index)..self.range.end,
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};
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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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169
src/base/par_iter.rs
Normal file
169
src/base/par_iter.rs
Normal file
@ -0,0 +1,169 @@
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//! this module implements parallelators to make matrices work with
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//! the rayon crate seamlessly
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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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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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};
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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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}
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impl<'a, T, R: Dim, Cols: Dim, S: RawStorage<T, R, Cols>> ParColumnIter<'a, T, R, Cols, S> {
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fn new(matrix: &'a Matrix<T, R, Cols, S>) -> Self {
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Self { mat: matrix }
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}
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}
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impl<'a, T, R: Dim, Cols: Dim, S: RawStorage<T, R, Cols>> ParallelIterator
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for ParColumnIter<'a, T, R, Cols, S>
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where
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T: Sync + Send + Clone + Debug + PartialEq + 'static,
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S: Sync,
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{
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type Item = MatrixSlice<'a, T, R, U1, S::RStride, S::CStride>;
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fn drive_unindexed<Consumer>(self, consumer: Consumer) -> Consumer::Result
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where
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Consumer: rayon::iter::plumbing::UnindexedConsumer<Self::Item>,
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{
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bridge(self, consumer)
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}
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fn opt_len(&self) -> Option<usize> {
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Some(self.mat.ncols())
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}
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}
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impl<'a, T, R: Dim, Cols: Dim, S: RawStorage<T, R, Cols>> IndexedParallelIterator
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for ParColumnIter<'a, T, R, Cols, S>
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where
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T: Send + Sync + Clone + Debug + PartialEq + 'static,
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S: Sync,
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{
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fn len(&self) -> usize {
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self.mat.ncols()
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}
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fn drive<C: rayon::iter::plumbing::Consumer<Self::Item>>(self, consumer: C) -> C::Result {
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bridge(self, consumer)
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}
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fn with_producer<CB: rayon::iter::plumbing::ProducerCallback<Self::Item>>(
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self,
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callback: CB,
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) -> CB::Output {
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let producer = ColumnIter::new(self.mat);
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callback.callback(producer)
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}
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}
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impl<'a, T, R: Dim, Cols: Dim, S: RawStorage<T, R, Cols>> Matrix<T, R, Cols, S>
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where
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T: Send + Sync + Clone + Debug + PartialEq + 'static,
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S: Sync,
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{
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fn par_column_iter(&self) -> ParColumnIter<'_, T, R, Cols, S> {
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ParColumnIter::new(self)
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}
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}
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/// TODO
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pub struct ParColumnIterMut<'a,T,R:Dim ,Cols:Dim, S:RawStorage<T,R,Cols>+RawStorageMut<T,R,Cols>> {
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mat : &'a mut Matrix<T,R,Cols,S>,
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}
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impl<'a,T,R,Cols,S> ParColumnIterMut<'a,T,R,Cols,S>
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where R: Dim, Cols : Dim, S:RawStorage<T,R,Cols> + RawStorageMut<T,R,Cols> {
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/// TODO
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pub fn new(mat : &'a mut Matrix<T,R,Cols,S>) -> Self {
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Self {
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mat,
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}
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}
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}
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impl<'a,T,R,Cols,S> ParallelIterator for ParColumnIterMut<'a,T,R,Cols,S>
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where R: Dim, Cols : Dim, S:RawStorage<T,R,Cols> + RawStorageMut<T,R,Cols>,
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T : Send + Sync + Debug + PartialEq + Clone + 'static,
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S : Send + Sync {
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type Item = MatrixSliceMut<'a, T, R, U1, S::RStride, S::CStride>;
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fn drive_unindexed<C>(self, consumer: C) -> C::Result
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where
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C: rayon::iter::plumbing::UnindexedConsumer<Self::Item> {
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bridge(self,consumer)
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}
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fn opt_len(&self) -> Option<usize> {
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Some(self.mat.ncols())
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}
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}
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impl<'a,T,R,Cols,S> IndexedParallelIterator for ParColumnIterMut<'a,T,R,Cols,S>
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where R: Dim, Cols : Dim, S:RawStorage<T,R,Cols> + RawStorageMut<T,R,Cols>,
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T : Send + Sync + Debug + PartialEq + Clone + 'static,
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S : Send + Sync {
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fn drive<C: rayon::iter::plumbing::Consumer<Self::Item>>(self, consumer: C) -> C::Result {
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bridge(self,consumer)
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}
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fn len(&self) -> usize {
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self.mat.ncols()
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}
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fn with_producer<CB: rayon::iter::plumbing::ProducerCallback<Self::Item>>(self, callback: CB) -> CB::Output {
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let producer = ColumnIterMut::new(self.mat);
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callback.callback(producer)
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}
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}
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impl<'a, T, R: Dim, Cols: Dim, S: RawStorage<T, R, Cols> + RawStorageMut<T,R,Cols>> Matrix<T, R, Cols, S>
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where
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T: Send + Sync + Clone + Debug + PartialEq + 'static,
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S: Sync,
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{
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fn par_column_iter_mut(&mut self) -> ParColumnIterMut<'_, T, R, Cols, S> {
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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 parallel_iterator() {
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let matrix = DMatrix::<f32>::zeros(3, 4);
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let res: Vec<_> = matrix.par_column_iter().map(|col| col.len()).collect();
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assert_eq!(res, vec![3, 3, 3, 3]);
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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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