forked from M-Labs/nalgebra
feature gate functionality
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2
.github/workflows/nalgebra-ci-build.yml
vendored
2
.github/workflows/nalgebra-ci-build.yml
vendored
@ -61,7 +61,7 @@ jobs:
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steps:
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steps:
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- uses: actions/checkout@v2
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- uses: actions/checkout@v2
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- name: test
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- name: test
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run: cargo test --features arbitrary,rand,serde-serialize,sparse,debug,io,compare,libm,proptest-support,slow-tests,rkyv-safe-deser;
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run: cargo test --features arbitrary,rand,serde-serialize,sparse,debug,io,compare,libm,proptest-support,slow-tests,rkyv-safe-deser,rayon;
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test-nalgebra-glm:
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test-nalgebra-glm:
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runs-on: ubuntu-latest
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runs-on: ubuntu-latest
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steps:
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steps:
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@ -33,6 +33,7 @@ libm = [ "simba/libm" ]
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libm-force = [ "simba/libm_force" ]
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libm-force = [ "simba/libm_force" ]
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macros = [ "nalgebra-macros" ]
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macros = [ "nalgebra-macros" ]
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cuda = [ "cust_core", "simba/cuda" ]
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cuda = [ "cust_core", "simba/cuda" ]
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rayon = [ "dep:rayon" ]
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# Conversion
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# Conversion
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convert-mint = [ "mint" ]
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convert-mint = [ "mint" ]
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@ -101,7 +102,7 @@ glam020 = { package = "glam", version = "0.20", optional = true }
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glam021 = { package = "glam", version = "0.21", optional = true }
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glam021 = { package = "glam", version = "0.21", optional = true }
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glam022 = { package = "glam", version = "0.22", 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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cust_core = { version = "0.1", optional = true }
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rayon = "1.5" # TODO make this feature gated
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rayon = { version = "1.5", optional = true }
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[dev-dependencies]
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[dev-dependencies]
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serde_json = "1.0"
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serde_json = "1.0"
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125
src/base/iter.rs
125
src/base/iter.rs
@ -6,8 +6,6 @@ use std::iter::FusedIterator;
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use std::marker::PhantomData;
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use std::marker::PhantomData;
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use std::mem;
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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::dimension::{Dim, U1};
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use crate::base::storage::{RawStorage, RawStorageMut};
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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::base::{Matrix, MatrixView, MatrixViewMut, Scalar};
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@ -365,34 +363,6 @@ impl<'a, T: Scalar, R: Dim, C: Dim, S: 'a + RawStorage<T, R, C>> ExactSizeIterat
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}
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}
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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 so it serves as an offset
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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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/// An iterator through the mutable columns of a matrix.
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#[derive(Debug)]
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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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pub struct ColumnIterMut<'a, T, R: Dim, C: Dim, S: RawStorageMut<T, R, C>> {
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@ -469,39 +439,76 @@ 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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}
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}
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impl<'a, T: Scalar, R: Dim, C: Dim, S: 'a + RawStorageMut<T, R, C>> Producer
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/// implementations for parallel iteration with rayon
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for ColumnIterMut<'a, T, R, C, S>
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#[cfg(feature = "rayon")]
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where
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mod parallel {
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T: Send + Sync + Debug + PartialEq + Clone,
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use super::*;
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S: Send + Sync,
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use rayon::iter::plumbing::Producer;
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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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fn into_iter(self) -> Self::IntoIter {
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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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self
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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 so it serves as an offset
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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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}
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fn split_at(self, index: usize) -> (Self, Self) {
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impl<'a, T: Scalar, R: Dim, C: Dim, S: 'a + RawStorageMut<T, R, C>> Producer
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// the index is relative to the size of this current iterator
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for ColumnIterMut<'a, T, R, C, S>
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// it will always start at zero so it serves as an offset
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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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let left = Self {
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fn into_iter(self) -> Self::IntoIter {
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mat: self.mat,
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self
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range: self.range.start..(self.range.start + index),
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}
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phantom: Default::default(),
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};
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let right = Self {
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fn split_at(self, index: usize) -> (Self, Self) {
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mat: self.mat,
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// the index is relative to the size of this current iterator
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range: (self.range.start + index)..self.range.end,
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// it will always start at zero so it serves as an offset
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phantom: Default::default(),
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};
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let left = Self {
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(left, right)
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mat: self.mat,
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range: self.range.start..(self.range.start + index),
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phantom: Default::default(),
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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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phantom: Default::default(),
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};
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(left, right)
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}
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}
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/// this implementation is safe because we are enforcing exclusive access
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/// to the columns through the active range of the iterator
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unsafe impl<'a, T: Scalar, R: Dim, C: Dim, S: 'a + RawStorageMut<T, R, C>> Send
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for ColumnIterMut<'a, T, R, C, S>
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{
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}
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}
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}
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}
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unsafe impl<'a, T: Scalar, R: Dim, C: Dim, S: 'a + RawStorageMut<T, R, C>> Send
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for ColumnIterMut<'a, T, R, C, S>
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{
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}
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@ -42,6 +42,7 @@ mod min_max;
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/// Mechanisms for working with values that may not be initialized.
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/// Mechanisms for working with values that may not be initialized.
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pub mod uninit;
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pub mod uninit;
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#[cfg(feature = "rayon")]
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pub mod par_iter;
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pub mod par_iter;
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#[cfg(feature = "rkyv-serialize-no-std")]
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#[cfg(feature = "rkyv-serialize-no-std")]
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@ -1200,6 +1200,7 @@ fn column_iteration_double_ended() {
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}
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}
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#[test]
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#[test]
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#[cfg(feature = "rayon")]
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fn parallel_column_iteration() {
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fn parallel_column_iteration() {
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use nalgebra::dmatrix;
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use nalgebra::dmatrix;
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use rayon::prelude::*;
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use rayon::prelude::*;
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@ -1221,6 +1222,7 @@ fn parallel_column_iteration() {
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}
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}
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#[test]
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#[test]
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#[cfg(feature = "rayon")]
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fn colum_iteration_mut_double_ended() {
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fn colum_iteration_mut_double_ended() {
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let dmat = nalgebra::dmatrix![
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let dmat = nalgebra::dmatrix![
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13,14,15,16,17;
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13,14,15,16,17;
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@ -1239,6 +1241,7 @@ fn colum_iteration_mut_double_ended() {
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}
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}
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#[test]
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#[test]
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#[cfg(feature = "rayon")]
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fn parallel_column_iteration_mut() {
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fn parallel_column_iteration_mut() {
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use rayon::prelude::*;
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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 first = DMatrix::<f32>::zeros(400, 300);
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@ -9,6 +9,10 @@ compile_error!(
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Example: `cargo test --features debug,compare,rand,macros`"
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Example: `cargo test --features debug,compare,rand,macros`"
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);
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);
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// make sure to test the parallel iterators for all builds that do not require no_std
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#[cfg(all(feature = "std", not(feature = "rayon")))]
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compile_error!("Please additionally enable the `rayon` feature to compile and run the tests");
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#[cfg(all(feature = "debug", feature = "compare", feature = "rand"))]
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#[cfg(all(feature = "debug", feature = "compare", feature = "rand"))]
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#[macro_use]
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#[macro_use]
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extern crate approx;
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extern crate approx;
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