nalgebra/src/core/matrix_slice.rs

804 lines
29 KiB
Rust
Raw Normal View History

use std::marker::PhantomData;
use std::ops::{Range, RangeFrom, RangeTo, RangeFull};
use std::slice;
use core::{Scalar, Matrix};
use core::dimension::{Dim, DimName, Dynamic, U1};
use core::iter::MatrixIter;
use core::storage::{Storage, StorageMut, Owned};
use core::allocator::Allocator;
use core::default_allocator::DefaultAllocator;
macro_rules! slice_storage_impl(
2017-02-13 01:17:09 +08:00
($doc: expr; $Storage: ident as $SRef: ty; $T: ident.$get_addr: ident ($Ptr: ty as $Ref: ty)) => {
#[doc = $doc]
#[derive(Debug)]
pub struct $T<'a, N: Scalar, R: Dim, C: Dim, RStride: Dim, CStride: Dim> {
ptr: $Ptr,
shape: (R, C),
strides: (RStride, CStride),
_phantoms: PhantomData<$Ref>,
}
// Dynamic is arbitrary. It's just to be able to call the constructors with `Slice::`
impl<'a, N: Scalar, R: Dim, C: Dim> $T<'a, N, R, C, Dynamic, Dynamic> {
/// Create a new matrix slice without bound checking.
#[inline]
pub unsafe fn new_unchecked<RStor, CStor, S>(storage: $SRef, start: (usize, usize), shape: (R, C))
-> $T<'a, N, R, C, S::RStride, S::CStride>
where RStor: Dim,
CStor: Dim,
S: $Storage<N, RStor, CStor> {
let strides = storage.strides();
$T::new_with_strides_unchecked(storage, start, shape, strides)
}
/// Create a new matrix slice without bound checking.
#[inline]
pub unsafe fn new_with_strides_unchecked<S, RStor, CStor, RStride, CStride>(storage: $SRef,
start: (usize, usize),
shape: (R, C),
strides: (RStride, CStride))
-> $T<'a, N, R, C, RStride, CStride>
where RStor: Dim,
CStor: Dim,
S: $Storage<N, RStor, CStor>,
RStride: Dim,
CStride: Dim {
$T::from_raw_parts(storage.$get_addr(start.0, start.1), shape, strides)
}
/// Create a new matrix slice without bound checking and from a raw pointer.
#[inline]
pub unsafe fn from_raw_parts<RStride, CStride>(ptr: $Ptr,
shape: (R, C),
strides: (RStride, CStride))
-> $T<'a, N, R, C, RStride, CStride>
where RStride: Dim,
CStride: Dim {
$T {
ptr: ptr,
shape: shape,
strides: strides,
_phantoms: PhantomData
}
}
}
}
);
2017-02-13 01:17:09 +08:00
slice_storage_impl!("A matrix data storage for a matrix slice. Only contains an internal reference \
to another matrix data storage.";
Storage as &'a S; SliceStorage.get_address_unchecked(*const N as &'a N));
slice_storage_impl!("A mutable matrix data storage for mutable matrix slice. Only contains an \
internal mutable reference to another matrix data storage.";
StorageMut as &'a mut S; SliceStorageMut.get_address_unchecked_mut(*mut N as &'a mut N)
);
impl<'a, N: Scalar, R: Dim, C: Dim, RStride: Dim, CStride: Dim> Copy
for SliceStorage<'a, N, R, C, RStride, CStride> { }
impl<'a, N: Scalar, R: Dim, C: Dim, RStride: Dim, CStride: Dim> Clone
for SliceStorage<'a, N, R, C, RStride, CStride> {
#[inline]
fn clone(&self) -> Self {
SliceStorage {
ptr: self.ptr,
shape: self.shape,
strides: self.strides,
_phantoms: PhantomData,
}
}
}
macro_rules! storage_impl(
($($T: ident),* $(,)*) => {$(
unsafe impl<'a, N: Scalar, R: Dim, C: Dim, RStride: Dim, CStride: Dim> Storage<N, R, C>
for $T<'a, N, R, C, RStride, CStride> {
type RStride = RStride;
type CStride = CStride;
#[inline]
fn ptr(&self) -> *const N {
self.ptr
}
#[inline]
fn shape(&self) -> (R, C) {
self.shape
}
#[inline]
fn strides(&self) -> (Self::RStride, Self::CStride) {
self.strides
}
#[inline]
fn is_contiguous(&self) -> bool {
// Common cases that can be deduced at compile-time even if one of the dimensions
// is Dynamic.
if (RStride::is::<U1>() && C::is::<U1>()) || // Column vector.
(CStride::is::<U1>() && R::is::<U1>()) { // Row vector.
true
}
else {
let (nrows, _) = self.shape();
let (srows, scols) = self.strides();
srows.value() == 1 && scols.value() == nrows.value()
}
}
#[inline]
fn into_owned(self) -> Owned<N, R, C>
where DefaultAllocator: Allocator<N, R, C> {
self.clone_owned()
}
#[inline]
fn clone_owned(&self) -> Owned<N, R, C>
where DefaultAllocator: Allocator<N, R, C> {
let (nrows, ncols) = self.shape();
let it = MatrixIter::new(self).cloned();
DefaultAllocator::allocate_from_iterator(nrows, ncols, it)
}
#[inline]
fn as_slice(&self) -> &[N] {
let (nrows, ncols) = self.shape();
if nrows.value() != 0 && ncols.value() != 0 {
let sz = self.linear_index(nrows.value() - 1, ncols.value() - 1);
unsafe { slice::from_raw_parts(self.ptr, sz + 1) }
}
else {
unsafe { slice::from_raw_parts(self.ptr, 0) }
}
}
}
)*}
);
storage_impl!(SliceStorage, SliceStorageMut);
unsafe impl<'a, N: Scalar, R: Dim, C: Dim, RStride: Dim, CStride: Dim> StorageMut<N, R, C>
for SliceStorageMut<'a, N, R, C, RStride, CStride> {
#[inline]
fn ptr_mut(&mut self) -> *mut N {
self.ptr
}
#[inline]
fn as_mut_slice(&mut self) -> &mut [N] {
let (nrows, ncols) = self.shape();
if nrows.value() != 0 && ncols.value() != 0 {
let sz = self.linear_index(nrows.value() - 1, ncols.value() - 1);
unsafe { slice::from_raw_parts_mut(self.ptr, sz + 1) }
}
else {
unsafe { slice::from_raw_parts_mut(self.ptr, 0) }
}
}
}
impl<N: Scalar, R: Dim, C: Dim, S: Storage<N, R, C>> Matrix<N, R, C, S> {
#[inline]
fn assert_slice_index(&self, start: (usize, usize), shape: (usize, usize), steps: (usize, usize)) {
let my_shape = self.shape();
// NOTE: we previously did: (shape.0 - 1) * steps.0
// which was wrong because underflow may occur for zero-sized matrices.
// Istead, we moved the subtraction into an addition on the right hand side.
assert!(start.0 + shape.0 * steps.0 <= my_shape.0 + steps.0, "Matrix slicing out of bounds.");
assert!(start.1 + shape.1 * steps.1 <= my_shape.1 + steps.1, "Matrix slicing out of bounds.");
}
}
macro_rules! matrix_slice_impl(
($me: ident: $Me: ty, $MatrixSlice: ident, $SliceStorage: ident, $Storage: ident.$get_addr: ident (), $data: expr;
$row: ident,
$row_part: ident,
$rows: ident,
$rows_with_step: ident,
$fixed_rows: ident,
$fixed_rows_with_step: ident,
$rows_generic: ident,
$rows_generic_with_step: ident,
$column: ident,
$column_part: ident,
$columns: ident,
$columns_with_step: ident,
$fixed_columns: ident,
$fixed_columns_with_step: ident,
$columns_generic: ident,
$columns_generic_with_step: ident,
$slice: ident,
$slice_with_steps: ident,
$fixed_slice: ident,
$fixed_slice_with_steps: ident,
$generic_slice: ident,
$generic_slice_with_steps: ident,
$rows_range_pair: ident,
$columns_range_pair: ident) => {
/// A matrix slice.
pub type $MatrixSlice<'a, N, R, C, RStride, CStride>
= Matrix<N, R, C, $SliceStorage<'a, N, R, C, RStride, CStride>>;
impl<N: Scalar, R: Dim, C: Dim, S: $Storage<N, R, C>> Matrix<N, R, C, S> {
/*
*
* Row slicing.
*
*/
/// Returns a slice containing the i-th row of this matrix.
#[inline]
pub fn $row($me: $Me, i: usize) -> $MatrixSlice<N, U1, C, S::RStride, S::CStride> {
$me.$fixed_rows::<U1>(i)
}
/// Returns a slice containing the `n` first elements of the i-th row of this matrix.
#[inline]
pub fn $row_part($me: $Me, i: usize, n: usize) -> $MatrixSlice<N, U1, Dynamic, S::RStride, S::CStride> {
$me.$generic_slice((i, 0), (U1, Dynamic::new(n)))
}
/// Extracts from this matrix a set of consecutive rows.
#[inline]
pub fn $rows($me: $Me, first_row: usize, nrows: usize)
-> $MatrixSlice<N, Dynamic, C, S::RStride, S::CStride> {
$me.$rows_generic(first_row, Dynamic::new(nrows))
}
/// Extracts from this matrix a set of consecutive rows regularly skipping `step` rows.
#[inline]
pub fn $rows_with_step($me: $Me, first_row: usize, nrows: usize, step: usize)
-> $MatrixSlice<N, Dynamic, C, Dynamic, S::CStride> {
$me.$rows_generic_with_step(first_row, Dynamic::new(nrows), step)
}
/// Extracts a compile-time number of consecutive rows from this matrix.
#[inline]
pub fn $fixed_rows<RSlice: DimName>($me: $Me, first_row: usize)
-> $MatrixSlice<N, RSlice, C, S::RStride, S::CStride> {
$me.$rows_generic(first_row, RSlice::name())
}
/// Extracts from this matrix a compile-time number of rows regularly skipping `step`
/// rows.
#[inline]
pub fn $fixed_rows_with_step<RSlice: DimName>($me: $Me, first_row: usize, step: usize)
-> $MatrixSlice<N, RSlice, C, Dynamic, S::CStride> {
$me.$rows_generic_with_step(first_row, RSlice::name(), step)
}
/// Extracts from this matrix `nrows` rows regularly skipping `step` rows. Both
/// argument may or may not be values known at compile-time.
#[inline]
pub fn $rows_generic<RSlice: Dim>($me: $Me, row_start: usize, nrows: RSlice)
-> $MatrixSlice<N, RSlice, C, S::RStride, S::CStride> {
let my_shape = $me.data.shape();
$me.assert_slice_index((row_start, 0), (nrows.value(), my_shape.1.value()), (1, 1));
let shape = (nrows, my_shape.1);
unsafe {
let data = $SliceStorage::new_unchecked($data, (row_start, 0), shape);
Matrix::from_data_statically_unchecked(data)
}
}
/// Extracts from this matrix `nrows` rows regularly skipping `step` rows. Both
/// argument may or may not be values known at compile-time.
#[inline]
pub fn $rows_generic_with_step<RSlice>($me: $Me, row_start: usize, nrows: RSlice, step: usize)
-> $MatrixSlice<N, RSlice, C, Dynamic, S::CStride>
where RSlice: Dim {
let my_shape = $me.data.shape();
let my_strides = $me.data.strides();
$me.assert_slice_index((row_start, 0), (nrows.value(), my_shape.1.value()), (step, 1));
let strides = (Dynamic::new((step + 1) * my_strides.0.value()), my_strides.1);
let shape = (nrows, my_shape.1);
unsafe {
let data = $SliceStorage::new_with_strides_unchecked($data, (row_start, 0), shape, strides);
Matrix::from_data_statically_unchecked(data)
}
}
/*
*
* Column slicing.
*
*/
/// Returns a slice containing the i-th column of this matrix.
#[inline]
pub fn $column($me: $Me, i: usize) -> $MatrixSlice<N, R, U1, S::RStride, S::CStride> {
$me.$fixed_columns::<U1>(i)
}
/// Returns a slice containing the `n` first elements of the i-th column of this matrix.
#[inline]
pub fn $column_part($me: $Me, i: usize, n: usize) -> $MatrixSlice<N, Dynamic, U1, S::RStride, S::CStride> {
$me.$generic_slice((0, i), (Dynamic::new(n), U1))
}
/// Extracts from this matrix a set of consecutive columns.
#[inline]
pub fn $columns($me: $Me, first_col: usize, ncols: usize)
-> $MatrixSlice<N, R, Dynamic, S::RStride, S::CStride> {
$me.$columns_generic(first_col, Dynamic::new(ncols))
}
/// Extracts from this matrix a set of consecutive columns regularly skipping `step`
/// columns.
#[inline]
pub fn $columns_with_step($me: $Me, first_col: usize, ncols: usize, step: usize)
-> $MatrixSlice<N, R, Dynamic, S::RStride, Dynamic> {
$me.$columns_generic_with_step(first_col, Dynamic::new(ncols), step)
}
/// Extracts a compile-time number of consecutive columns from this matrix.
#[inline]
pub fn $fixed_columns<CSlice: DimName>($me: $Me, first_col: usize)
-> $MatrixSlice<N, R, CSlice, S::RStride, S::CStride> {
$me.$columns_generic(first_col, CSlice::name())
}
/// Extracts from this matrix a compile-time number of columns regularly skipping
/// `step` columns.
#[inline]
pub fn $fixed_columns_with_step<CSlice: DimName>($me: $Me, first_col: usize, step: usize)
-> $MatrixSlice<N, R, CSlice, S::RStride, Dynamic> {
$me.$columns_generic_with_step(first_col, CSlice::name(), step)
}
/// Extracts from this matrix `ncols` columns. The number of columns may or may not be
/// known at compile-time.
#[inline]
pub fn $columns_generic<CSlice: Dim>($me: $Me, first_col: usize, ncols: CSlice)
-> $MatrixSlice<N, R, CSlice, S::RStride, S::CStride> {
let my_shape = $me.data.shape();
$me.assert_slice_index((0, first_col), (my_shape.0.value(), ncols.value()), (1, 1));
let shape = (my_shape.0, ncols);
unsafe {
let data = $SliceStorage::new_unchecked($data, (0, first_col), shape);
Matrix::from_data_statically_unchecked(data)
}
}
/// Extracts from this matrix `ncols` columns skipping `step` columns. Both argument may
/// or may not be values known at compile-time.
#[inline]
pub fn $columns_generic_with_step<CSlice: Dim>($me: $Me, first_col: usize, ncols: CSlice, step: usize)
-> $MatrixSlice<N, R, CSlice, S::RStride, Dynamic> {
let my_shape = $me.data.shape();
let my_strides = $me.data.strides();
$me.assert_slice_index((0, first_col), (my_shape.0.value(), ncols.value()), (1, step));
let strides = (my_strides.0, Dynamic::new((step + 1) * my_strides.1.value()));
let shape = (my_shape.0, ncols);
unsafe {
let data = $SliceStorage::new_with_strides_unchecked($data, (0, first_col), shape, strides);
Matrix::from_data_statically_unchecked(data)
}
}
/*
*
* General slicing.
*
*/
/// Slices this matrix starting at its component `(irow, icol)` and with `(nrows, ncols)`
/// consecutive elements.
#[inline]
pub fn $slice($me: $Me, start: (usize, usize), shape: (usize, usize))
-> $MatrixSlice<N, Dynamic, Dynamic, S::RStride, S::CStride> {
$me.assert_slice_index(start, shape, (1, 1));
let shape = (Dynamic::new(shape.0), Dynamic::new(shape.1));
unsafe {
let data = $SliceStorage::new_unchecked($data, start, shape);
Matrix::from_data_statically_unchecked(data)
}
}
2017-02-13 01:17:09 +08:00
/// Slices this matrix starting at its component `(start.0, start.1)` and with
/// `(shape.0, shape.1)` components. Each row (resp. column) of the sliced matrix is
/// separated by `steps.0` (resp. `steps.1`) ignored rows (resp. columns) of the
/// original matrix.
#[inline]
pub fn $slice_with_steps($me: $Me, start: (usize, usize), shape: (usize, usize), steps: (usize, usize))
-> $MatrixSlice<N, Dynamic, Dynamic, Dynamic, Dynamic> {
let shape = (Dynamic::new(shape.0), Dynamic::new(shape.1));
$me.$generic_slice_with_steps(start, shape, steps)
}
/// Slices this matrix starting at its component `(irow, icol)` and with `(R::dim(),
/// CSlice::dim())` consecutive components.
#[inline]
pub fn $fixed_slice<RSlice, CSlice>($me: $Me, irow: usize, icol: usize)
-> $MatrixSlice<N, RSlice, CSlice, S::RStride, S::CStride>
where RSlice: DimName,
CSlice: DimName {
$me.assert_slice_index((irow, icol), (RSlice::dim(), CSlice::dim()), (1, 1));
let shape = (RSlice::name(), CSlice::name());
unsafe {
let data = $SliceStorage::new_unchecked($data, (irow, icol), shape);
Matrix::from_data_statically_unchecked(data)
}
}
2017-02-13 01:17:09 +08:00
/// Slices this matrix starting at its component `(start.0, start.1)` and with
/// `(R::dim(), CSlice::dim())` components. Each row (resp. column) of the sliced
/// matrix is separated by `steps.0` (resp. `steps.1`) ignored rows (resp. columns) of
/// the original matrix.
#[inline]
pub fn $fixed_slice_with_steps<RSlice, CSlice>($me: $Me, start: (usize, usize), steps: (usize, usize))
-> $MatrixSlice<N, RSlice, CSlice, Dynamic, Dynamic>
where RSlice: DimName,
CSlice: DimName {
let shape = (RSlice::name(), CSlice::name());
$me.$generic_slice_with_steps(start, shape, steps)
}
/// Creates a slice that may or may not have a fixed size and stride.
#[inline]
pub fn $generic_slice<RSlice, CSlice>($me: $Me, start: (usize, usize), shape: (RSlice, CSlice))
-> $MatrixSlice<N, RSlice, CSlice, S::RStride, S::CStride>
where RSlice: Dim,
CSlice: Dim {
$me.assert_slice_index(start, (shape.0.value(), shape.1.value()), (1, 1));
unsafe {
let data = $SliceStorage::new_unchecked($data, start, shape);
Matrix::from_data_statically_unchecked(data)
}
}
/// Creates a slice that may or may not have a fixed size and stride.
#[inline]
pub fn $generic_slice_with_steps<RSlice, CSlice>($me: $Me,
start: (usize, usize),
shape: (RSlice, CSlice),
steps: (usize, usize))
-> $MatrixSlice<N, RSlice, CSlice, Dynamic, Dynamic>
where RSlice: Dim,
CSlice: Dim {
$me.assert_slice_index(start, (shape.0.value(), shape.1.value()), steps);
let my_strides = $me.data.strides();
let strides = (Dynamic::new((steps.0 + 1) * my_strides.0.value()),
Dynamic::new((steps.1 + 1) * my_strides.1.value()));
unsafe {
let data = $SliceStorage::new_with_strides_unchecked($data, start, shape, strides);
Matrix::from_data_statically_unchecked(data)
}
}
/*
*
* Splitting.
*
*/
/// Splits this NxM matrix into two parts delimited by two ranges.
///
/// Panics if the ranges overlap or if the first range is empty.
#[inline]
pub fn $rows_range_pair<Range1: SliceRange<R>, Range2: SliceRange<R>>($me: $Me, r1: Range1, r2: Range2)
-> ($MatrixSlice<N, Range1::Size, C, S::RStride, S::CStride>,
$MatrixSlice<N, Range2::Size, C, S::RStride, S::CStride>) {
let (nrows, ncols) = $me.data.shape();
let strides = $me.data.strides();
let start1 = r1.begin(nrows);
let start2 = r2.begin(nrows);
let end1 = r1.end(nrows);
let end2 = r2.end(nrows);
let nrows1 = r1.size(nrows);
let nrows2 = r2.size(nrows);
assert!(start2 >= end1 || start1 >= end2, "Rows range pair: the slice ranges must not overlap.");
assert!(end2 <= nrows.value(), "Rows range pair: index out of range.");
unsafe {
let ptr1 = $data.$get_addr(start1, 0);
let ptr2 = $data.$get_addr(start2, 0);
let data1 = $SliceStorage::from_raw_parts(ptr1, (nrows1, ncols), strides);
let data2 = $SliceStorage::from_raw_parts(ptr2, (nrows2, ncols), strides);
let slice1 = Matrix::from_data_statically_unchecked(data1);
let slice2 = Matrix::from_data_statically_unchecked(data2);
(slice1, slice2)
}
}
/// Splits this NxM matrix into two parts delimited by two ranges.
///
/// Panics if the ranges overlap or if the first range is empty.
#[inline]
pub fn $columns_range_pair<Range1: SliceRange<C>, Range2: SliceRange<C>>($me: $Me, r1: Range1, r2: Range2)
-> ($MatrixSlice<N, R, Range1::Size, S::RStride, S::CStride>,
$MatrixSlice<N, R, Range2::Size, S::RStride, S::CStride>) {
let (nrows, ncols) = $me.data.shape();
let strides = $me.data.strides();
let start1 = r1.begin(ncols);
let start2 = r2.begin(ncols);
let end1 = r1.end(ncols);
let end2 = r2.end(ncols);
let ncols1 = r1.size(ncols);
let ncols2 = r2.size(ncols);
assert!(start2 >= end1 || start1 >= end2, "Columns range pair: the slice ranges must not overlap.");
assert!(end2 <= ncols.value(), "Columns range pair: index out of range.");
unsafe {
let ptr1 = $data.$get_addr(0, start1);
let ptr2 = $data.$get_addr(0, start2);
let data1 = $SliceStorage::from_raw_parts(ptr1, (nrows, ncols1), strides);
let data2 = $SliceStorage::from_raw_parts(ptr2, (nrows, ncols2), strides);
let slice1 = Matrix::from_data_statically_unchecked(data1);
let slice2 = Matrix::from_data_statically_unchecked(data2);
(slice1, slice2)
}
}
}
}
);
matrix_slice_impl!(
self: &Self, MatrixSlice, SliceStorage, Storage.get_address_unchecked(), &self.data;
row,
row_part,
rows,
rows_with_step,
fixed_rows,
fixed_rows_with_step,
rows_generic,
rows_generic_with_step,
column,
column_part,
columns,
columns_with_step,
fixed_columns,
fixed_columns_with_step,
columns_generic,
columns_generic_with_step,
slice,
slice_with_steps,
fixed_slice,
fixed_slice_with_steps,
generic_slice,
generic_slice_with_steps,
rows_range_pair,
columns_range_pair);
matrix_slice_impl!(
self: &mut Self, MatrixSliceMut, SliceStorageMut, StorageMut.get_address_unchecked_mut(), &mut self.data;
row_mut,
row_part_mut,
rows_mut,
rows_with_step_mut,
fixed_rows_mut,
fixed_rows_with_step_mut,
rows_generic_mut,
rows_generic_with_step_mut,
column_mut,
column_part_mut,
columns_mut,
columns_with_step_mut,
fixed_columns_mut,
fixed_columns_with_step_mut,
columns_generic_mut,
columns_generic_with_step_mut,
slice_mut,
slice_with_steps_mut,
fixed_slice_mut,
fixed_slice_with_steps_mut,
generic_slice_mut,
generic_slice_with_steps_mut,
rows_range_pair_mut,
columns_range_pair_mut);
pub trait SliceRange<D: Dim> {
type Size: Dim;
fn begin(&self, shape: D) -> usize;
// NOTE: this is the index immediatly after the last index.
fn end(&self, shape: D) -> usize;
fn size(&self, shape: D) -> Self::Size;
}
impl<D: Dim> SliceRange<D> for usize {
type Size = U1;
#[inline(always)]
fn begin(&self, _: D) -> usize {
*self
}
#[inline(always)]
fn end(&self, _: D) -> usize {
*self + 1
}
#[inline(always)]
fn size(&self, _: D) -> Self::Size {
U1
}
}
impl<D: Dim> SliceRange<D> for Range<usize> {
type Size = Dynamic;
#[inline(always)]
fn begin(&self, _: D) -> usize {
self.start
}
#[inline(always)]
fn end(&self, _: D) -> usize {
self.end
}
#[inline(always)]
fn size(&self, _: D) -> Self::Size {
Dynamic::new(self.end - self.start)
}
}
impl<D: Dim> SliceRange<D> for RangeFrom<usize> {
type Size = Dynamic;
#[inline(always)]
fn begin(&self, _: D) -> usize {
self.start
}
#[inline(always)]
fn end(&self, dim: D) -> usize {
dim.value()
}
#[inline(always)]
fn size(&self, dim: D) -> Self::Size {
Dynamic::new(dim.value() - self.start)
}
}
impl<D: Dim> SliceRange<D> for RangeTo<usize> {
type Size = Dynamic;
#[inline(always)]
fn begin(&self, _: D) -> usize {
0
}
#[inline(always)]
fn end(&self, _: D) -> usize {
self.end
}
#[inline(always)]
fn size(&self, _: D) -> Self::Size {
Dynamic::new(self.end)
}
}
impl<D: Dim> SliceRange<D> for RangeFull {
type Size = D;
#[inline(always)]
fn begin(&self, _: D) -> usize {
0
}
#[inline(always)]
fn end(&self, dim: D) -> usize {
dim.value()
}
#[inline(always)]
fn size(&self, dim: D) -> Self::Size {
dim
}
}
impl<N: Scalar, R: Dim, C: Dim, S: Storage<N, R, C>> Matrix<N, R, C, S> {
#[inline]
pub fn slice_range<RowRange, ColRange>(&self, rows: RowRange, cols: ColRange)
-> MatrixSlice<N, RowRange::Size, ColRange::Size, S::RStride, S::CStride>
where RowRange: SliceRange<R>,
ColRange: SliceRange<C> {
let (nrows, ncols) = self.data.shape();
self.generic_slice((rows.begin(nrows), cols.begin(ncols)),
(rows.size(nrows), cols.size(ncols)))
}
#[inline]
pub fn rows_range<RowRange: SliceRange<R>>(&self, rows: RowRange)
-> MatrixSlice<N, RowRange::Size, C, S::RStride, S::CStride> {
self.slice_range(rows, ..)
}
#[inline]
pub fn columns_range<ColRange: SliceRange<C>>(&self, cols: ColRange)
-> MatrixSlice<N, R, ColRange::Size, S::RStride, S::CStride> {
self.slice_range(.., cols)
}
}
impl<N: Scalar, R: Dim, C: Dim, S: StorageMut<N, R, C>> Matrix<N, R, C, S> {
pub fn slice_range_mut<RowRange, ColRange>(&mut self, rows: RowRange, cols: ColRange)
-> MatrixSliceMut<N, RowRange::Size, ColRange::Size, S::RStride, S::CStride>
where RowRange: SliceRange<R>,
ColRange: SliceRange<C> {
let (nrows, ncols) = self.data.shape();
self.generic_slice_mut((rows.begin(nrows), cols.begin(ncols)),
(rows.size(nrows), cols.size(ncols)))
}
#[inline]
pub fn rows_range_mut<RowRange: SliceRange<R>>(&mut self, rows: RowRange)
-> MatrixSliceMut<N, RowRange::Size, C, S::RStride, S::CStride> {
self.slice_range_mut(rows, ..)
}
#[inline]
pub fn columns_range_mut<ColRange: SliceRange<C>>(&mut self, cols: ColRange)
-> MatrixSliceMut<N, R, ColRange::Size, S::RStride, S::CStride> {
self.slice_range_mut(.., cols)
}
}