2017-02-13 01:17:09 +08:00
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//! Matrix iterators.
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2016-12-05 05:44:42 +08:00
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use std::marker::PhantomData;
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use std::mem;
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2019-03-23 21:29:07 +08:00
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use crate::base::dimension::{Dim, U1};
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use crate::base::storage::{Storage, StorageMut};
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use crate::base::{Scalar, Matrix, MatrixSlice, MatrixSliceMut};
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2016-12-05 05:44:42 +08:00
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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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/// An iterator through a dense matrix with arbitrary strides matrix.
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pub struct $Name<'a, N: Scalar, R: Dim, C: Dim, S: 'a + $Storage<N, R, C>> {
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2018-10-22 13:00:10 +08:00
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ptr: $Ptr,
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2016-12-05 05:44:42 +08:00
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inner_ptr: $Ptr,
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inner_end: $Ptr,
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2018-10-22 13:00:10 +08:00
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size: usize, // We can't use an end pointer here because a stride might be zero.
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strides: (S::RStride, S::CStride),
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_phantoms: PhantomData<($Ref, R, C, S)>,
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2016-12-05 05:44:42 +08:00
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}
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// FIXME: we need to specialize for the case where the matrix storage is owned (in which
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// case the iterator is trivial because it does not have any stride).
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impl<'a, N: Scalar, R: Dim, C: Dim, S: 'a + $Storage<N, R, C>> $Name<'a, N, R, C, S> {
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/// Creates a new iterator for the given matrix storage.
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pub fn new(storage: $SRef) -> $Name<'a, N, R, C, S> {
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2018-10-22 13:00:10 +08:00
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let shape = storage.shape();
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2016-12-05 05:44:42 +08:00
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let strides = storage.strides();
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let inner_offset = shape.0.value() * strides.0.value();
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let ptr = storage.$ptr();
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$Name {
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2018-10-22 13:00:10 +08:00
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ptr: ptr,
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2016-12-05 05:44:42 +08:00
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inner_ptr: ptr,
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inner_end: unsafe { ptr.offset(inner_offset as isize) },
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2018-10-22 13:00:10 +08:00
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size: shape.0.value() * shape.1.value(),
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strides: strides,
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_phantoms: PhantomData,
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2016-12-05 05:44:42 +08:00
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}
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}
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}
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2018-10-22 13:00:10 +08:00
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impl<'a, N: Scalar, R: Dim, C: Dim, S: 'a + $Storage<N, R, C>> Iterator
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for $Name<'a, N, R, C, S>
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{
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2016-12-05 05:44:42 +08:00
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type Item = $Ref;
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#[inline]
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fn next(&mut self) -> Option<$Ref> {
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unsafe {
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if self.size == 0 {
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None
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} else {
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self.size -= 1;
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// Jump to the next outer dimension if needed.
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if self.ptr == self.inner_end {
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let stride = self.strides.1.value() as isize;
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self.inner_end = self.ptr.offset(stride);
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self.ptr = self.inner_ptr.offset(stride);
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self.inner_ptr = self.ptr;
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}
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// Go to the next element.
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let old = self.ptr;
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let stride = self.strides.0.value() as isize;
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self.ptr = self.ptr.offset(stride);
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Some(mem::transmute(old))
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}
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}
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}
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#[inline]
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fn size_hint(&self) -> (usize, Option<usize>) {
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(self.size, Some(self.size))
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}
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#[inline]
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fn count(self) -> usize {
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self.size_hint().0
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}
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}
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2017-08-03 01:37:44 +08:00
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2018-10-22 13:00:10 +08:00
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impl<'a, N: Scalar, R: Dim, C: Dim, S: 'a + $Storage<N, R, C>> ExactSizeIterator
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for $Name<'a, N, R, C, S>
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{
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2017-08-03 01:37:44 +08:00
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#[inline]
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fn len(&self) -> usize {
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self.size
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}
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}
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2018-10-22 13:00:10 +08:00
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};
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2016-12-05 05:44:42 +08:00
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}
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iterator!(struct MatrixIter for Storage.ptr -> *const N, &'a N, &'a S);
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iterator!(struct MatrixIterMut for StorageMut.ptr_mut -> *mut N, &'a mut N, &'a mut S);
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2018-12-09 22:21:05 +08:00
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/*
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*
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* Row iterators.
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*
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*/
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#[derive(Clone)]
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2019-02-03 15:33:07 +08:00
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/// An iterator through the rows of a matrix.
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2018-12-09 22:21:05 +08:00
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pub struct RowIter<'a, N: Scalar, R: Dim, C: Dim, S: Storage<N, R, C>> {
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mat: &'a Matrix<N, R, C, S>,
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curr: usize
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}
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impl<'a, N: Scalar, R: Dim, C: Dim, S: 'a + Storage<N, R, C>> RowIter<'a, N, R, C, S> {
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2019-02-03 15:33:07 +08:00
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pub(crate) fn new(mat: &'a Matrix<N, R, C, S>) -> Self {
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2018-12-09 22:21:05 +08:00
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RowIter {
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mat, curr: 0
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}
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}
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}
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impl<'a, N: Scalar, R: Dim, C: Dim, S: 'a + Storage<N, R, C>> Iterator for RowIter<'a, N, R, C, S> {
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type Item = MatrixSlice<'a, N, U1, C, 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.mat.nrows() {
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let res = self.mat.row(self.curr);
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self.curr += 1;
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Some(res)
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} else {
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None
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}
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}
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#[inline]
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fn size_hint(&self) -> (usize, Option<usize>) {
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(self.mat.nrows() - self.curr, Some(self.mat.nrows() - self.curr))
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}
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#[inline]
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fn count(self) -> usize {
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self.mat.nrows() - self.curr
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}
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}
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impl<'a, N: Scalar, R: Dim, C: Dim, S: 'a + Storage<N, R, C>> ExactSizeIterator for RowIter<'a, N, R, C, S> {
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#[inline]
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fn len(&self) -> usize {
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self.mat.nrows() - self.curr
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}
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}
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2019-02-03 15:33:07 +08:00
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/// An iterator through the mutable rows of a matrix.
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2018-12-09 22:21:05 +08:00
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pub struct RowIterMut<'a, N: Scalar, R: Dim, C: Dim, S: StorageMut<N, R, C>> {
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mat: *mut Matrix<N, R, C, S>,
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curr: usize,
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2019-02-03 15:33:07 +08:00
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phantom: PhantomData<&'a mut Matrix<N, R, C, S>>
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2018-12-09 22:21:05 +08:00
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}
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impl<'a, N: Scalar, R: Dim, C: Dim, S: 'a + StorageMut<N, R, C>> RowIterMut<'a, N, R, C, S> {
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2019-02-03 15:33:07 +08:00
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pub(crate) fn new(mat: &'a mut Matrix<N, R, C, S>) -> Self {
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2018-12-09 22:21:05 +08:00
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RowIterMut {
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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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}
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fn nrows(&self) -> usize {
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unsafe {
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(*self.mat).nrows()
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}
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}
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}
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impl<'a, N: Scalar, R: Dim, C: Dim, S: 'a + StorageMut<N, R, C>> Iterator for RowIterMut<'a, N, R, C, S> {
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type Item = MatrixSliceMut<'a, N, U1, C, 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.nrows() {
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let res = unsafe { (*self.mat).row_mut(self.curr) };
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self.curr += 1;
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Some(res)
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} else {
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None
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}
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}
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#[inline]
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fn size_hint(&self) -> (usize, Option<usize>) {
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(self.nrows() - self.curr, Some(self.nrows() - self.curr))
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}
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#[inline]
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fn count(self) -> usize {
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self.nrows() - self.curr
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}
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}
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impl<'a, N: Scalar, R: Dim, C: Dim, S: 'a + StorageMut<N, R, C>> ExactSizeIterator for RowIterMut<'a, N, R, C, S> {
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#[inline]
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fn len(&self) -> usize {
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self.nrows() - self.curr
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}
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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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#[derive(Clone)]
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2019-02-03 15:33:07 +08:00
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/// An iterator through the columns of a matrix.
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2018-12-09 22:21:05 +08:00
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pub struct ColumnIter<'a, N: Scalar, R: Dim, C: Dim, S: Storage<N, R, C>> {
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mat: &'a Matrix<N, R, C, S>,
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curr: usize
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}
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impl<'a, N: Scalar, R: Dim, C: Dim, S: 'a + Storage<N, R, C>> ColumnIter<'a, N, R, C, S> {
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2019-02-03 15:33:07 +08:00
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pub(crate) fn new(mat: &'a Matrix<N, R, C, S>) -> Self {
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2018-12-09 22:21:05 +08:00
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ColumnIter {
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mat, curr: 0
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}
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}
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}
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impl<'a, N: Scalar, R: Dim, C: Dim, S: 'a + Storage<N, R, C>> Iterator for ColumnIter<'a, N, R, C, S> {
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type Item = MatrixSlice<'a, N, 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.mat.ncols() {
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let res = self.mat.column(self.curr);
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self.curr += 1;
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Some(res)
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} else {
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None
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}
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}
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#[inline]
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fn size_hint(&self) -> (usize, Option<usize>) {
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(self.mat.ncols() - self.curr, Some(self.mat.ncols() - self.curr))
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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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}
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}
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impl<'a, N: Scalar, R: Dim, C: Dim, S: 'a + Storage<N, R, C>> ExactSizeIterator for ColumnIter<'a, N, R, C, S> {
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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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}
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}
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2019-02-03 15:33:07 +08:00
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/// An iterator through the mutable columns of a matrix.
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2018-12-09 22:21:05 +08:00
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pub struct ColumnIterMut<'a, N: Scalar, R: Dim, C: Dim, S: StorageMut<N, R, C>> {
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mat: *mut Matrix<N, R, C, S>,
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curr: usize,
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2019-02-03 15:33:07 +08:00
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phantom: PhantomData<&'a mut Matrix<N, R, C, S>>
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2018-12-09 22:21:05 +08:00
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}
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impl<'a, N: Scalar, R: Dim, C: Dim, S: 'a + StorageMut<N, R, C>> ColumnIterMut<'a, N, R, C, S> {
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2019-02-03 15:33:07 +08:00
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pub(crate) fn new(mat: &'a mut Matrix<N, R, C, S>) -> Self {
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2018-12-09 22:21:05 +08:00
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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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}
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fn ncols(&self) -> usize {
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unsafe {
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(*self.mat).ncols()
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}
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}
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}
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impl<'a, N: Scalar, R: Dim, C: Dim, S: 'a + StorageMut<N, R, C>> Iterator for ColumnIterMut<'a, N, R, C, S> {
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type Item = MatrixSliceMut<'a, N, 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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Some(res)
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} else {
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None
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}
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}
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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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}
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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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}
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}
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impl<'a, N: Scalar, R: Dim, C: Dim, S: 'a + StorageMut<N, R, C>> ExactSizeIterator for ColumnIterMut<'a, N, R, C, S> {
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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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}
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}
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