nalgebra/src/base/conversion.rs
2021-02-25 13:42:23 +01:00

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#[cfg(all(feature = "alloc", not(feature = "std")))]
use alloc::vec::Vec;
#[cfg(feature = "mint")]
use mint;
use simba::scalar::{SubsetOf, SupersetOf};
use std::convert::{AsMut, AsRef, From, Into};
use std::mem;
use std::ptr;
use generic_array::ArrayLength;
use std::ops::Mul;
use typenum::Prod;
use simba::simd::{PrimitiveSimdValue, SimdValue};
use crate::base::allocator::{Allocator, SameShapeAllocator};
use crate::base::constraint::{SameNumberOfColumns, SameNumberOfRows, ShapeConstraint};
#[cfg(any(feature = "std", feature = "alloc"))]
use crate::base::dimension::Dynamic;
use crate::base::dimension::{
Dim, DimName, U1, U10, U11, U12, U13, U14, U15, U16, U2, U3, U4, U5, U6, U7, U8, U9,
};
use crate::base::iter::{MatrixIter, MatrixIterMut};
use crate::base::storage::{ContiguousStorage, ContiguousStorageMut, Storage, StorageMut};
use crate::base::{
ArrayStorage, DVectorSlice, DVectorSliceMut, DefaultAllocator, Matrix, MatrixMN, MatrixSlice,
MatrixSliceMut, Scalar,
};
#[cfg(any(feature = "std", feature = "alloc"))]
use crate::base::{DVector, VecStorage};
use crate::base::{SliceStorage, SliceStorageMut};
use crate::constraint::DimEq;
// TODO: too bad this won't work allo slice conversions.
impl<N1, N2, R1, C1, R2, C2> SubsetOf<MatrixMN<N2, R2, C2>> for MatrixMN<N1, R1, C1>
where
R1: Dim,
C1: Dim,
R2: Dim,
C2: Dim,
N1: Scalar,
N2: Scalar + SupersetOf<N1>,
DefaultAllocator:
Allocator<N2, R2, C2> + Allocator<N1, R1, C1> + SameShapeAllocator<N1, R1, C1, R2, C2>,
ShapeConstraint: SameNumberOfRows<R1, R2> + SameNumberOfColumns<C1, C2>,
{
#[inline]
fn to_superset(&self) -> MatrixMN<N2, R2, C2> {
let (nrows, ncols) = self.shape();
let nrows2 = R2::from_usize(nrows);
let ncols2 = C2::from_usize(ncols);
let mut res: MatrixMN<N2, R2, C2> =
unsafe { crate::unimplemented_or_uninitialized_generic!(nrows2, ncols2) };
for i in 0..nrows {
for j in 0..ncols {
unsafe {
*res.get_unchecked_mut((i, j)) = N2::from_subset(self.get_unchecked((i, j)))
}
}
}
res
}
#[inline]
fn is_in_subset(m: &MatrixMN<N2, R2, C2>) -> bool {
m.iter().all(|e| e.is_in_subset())
}
#[inline]
fn from_superset_unchecked(m: &MatrixMN<N2, R2, C2>) -> Self {
let (nrows2, ncols2) = m.shape();
let nrows = R1::from_usize(nrows2);
let ncols = C1::from_usize(ncols2);
let mut res: Self = unsafe { crate::unimplemented_or_uninitialized_generic!(nrows, ncols) };
for i in 0..nrows2 {
for j in 0..ncols2 {
unsafe {
*res.get_unchecked_mut((i, j)) = m.get_unchecked((i, j)).to_subset_unchecked()
}
}
}
res
}
}
impl<'a, N: Scalar, R: Dim, C: Dim, S: Storage<N, R, C>> IntoIterator for &'a Matrix<N, R, C, S> {
type Item = &'a N;
type IntoIter = MatrixIter<'a, N, R, C, S>;
#[inline]
fn into_iter(self) -> Self::IntoIter {
self.iter()
}
}
impl<'a, N: Scalar, R: Dim, C: Dim, S: StorageMut<N, R, C>> IntoIterator
for &'a mut Matrix<N, R, C, S>
{
type Item = &'a mut N;
type IntoIter = MatrixIterMut<'a, N, R, C, S>;
#[inline]
fn into_iter(self) -> Self::IntoIter {
self.iter_mut()
}
}
macro_rules! impl_from_into_asref_1D(
($(($NRows: ident, $NCols: ident) => $SZ: expr);* $(;)*) => {$(
impl<N> From<[N; $SZ]> for MatrixMN<N, $NRows, $NCols>
where N: Scalar,
DefaultAllocator: Allocator<N, $NRows, $NCols> {
#[inline]
fn from(arr: [N; $SZ]) -> Self {
unsafe {
let mut res = Self::new_uninitialized();
ptr::copy_nonoverlapping(&arr[0], (*res.as_mut_ptr()).data.ptr_mut(), $SZ);
res.assume_init()
}
}
}
impl<N, S> Into<[N; $SZ]> for Matrix<N, $NRows, $NCols, S>
where N: Scalar,
S: ContiguousStorage<N, $NRows, $NCols> {
#[inline]
fn into(self) -> [N; $SZ] {
let mut res = mem::MaybeUninit::<[N; $SZ]>::uninit();
unsafe { ptr::copy_nonoverlapping(self.data.ptr(), res.as_mut_ptr() as *mut N, $SZ) };
unsafe { res.assume_init() }
}
}
impl<N, S> AsRef<[N; $SZ]> for Matrix<N, $NRows, $NCols, S>
where N: Scalar,
S: ContiguousStorage<N, $NRows, $NCols> {
#[inline]
fn as_ref(&self) -> &[N; $SZ] {
unsafe {
mem::transmute(self.data.ptr())
}
}
}
impl<N, S> AsMut<[N; $SZ]> for Matrix<N, $NRows, $NCols, S>
where N: Scalar,
S: ContiguousStorageMut<N, $NRows, $NCols> {
#[inline]
fn as_mut(&mut self) -> &mut [N; $SZ] {
unsafe {
mem::transmute(self.data.ptr_mut())
}
}
}
)*}
);
// Implement for vectors of dimension 1 .. 16.
impl_from_into_asref_1D!(
// Row vectors.
(U1, U1 ) => 1; (U1, U2 ) => 2; (U1, U3 ) => 3; (U1, U4 ) => 4;
(U1, U5 ) => 5; (U1, U6 ) => 6; (U1, U7 ) => 7; (U1, U8 ) => 8;
(U1, U9 ) => 9; (U1, U10) => 10; (U1, U11) => 11; (U1, U12) => 12;
(U1, U13) => 13; (U1, U14) => 14; (U1, U15) => 15; (U1, U16) => 16;
// Column vectors.
(U2 , U1) => 2; (U3 , U1) => 3; (U4 , U1) => 4;
(U5 , U1) => 5; (U6 , U1) => 6; (U7 , U1) => 7; (U8 , U1) => 8;
(U9 , U1) => 9; (U10, U1) => 10; (U11, U1) => 11; (U12, U1) => 12;
(U13, U1) => 13; (U14, U1) => 14; (U15, U1) => 15; (U16, U1) => 16;
);
macro_rules! impl_from_into_asref_2D(
($(($NRows: ty, $NCols: ty) => ($SZRows: expr, $SZCols: expr));* $(;)*) => {$(
impl<N: Scalar> From<[[N; $SZRows]; $SZCols]> for MatrixMN<N, $NRows, $NCols>
where DefaultAllocator: Allocator<N, $NRows, $NCols> {
#[inline]
fn from(arr: [[N; $SZRows]; $SZCols]) -> Self {
unsafe {
let mut res = Self::new_uninitialized();
ptr::copy_nonoverlapping(&arr[0][0], (*res.as_mut_ptr()).data.ptr_mut(), $SZRows * $SZCols);
res.assume_init()
}
}
}
impl<N: Scalar, S> Into<[[N; $SZRows]; $SZCols]> for Matrix<N, $NRows, $NCols, S>
where S: ContiguousStorage<N, $NRows, $NCols> {
#[inline]
fn into(self) -> [[N; $SZRows]; $SZCols] {
let mut res = mem::MaybeUninit::<[[N; $SZRows]; $SZCols]>::uninit();
unsafe { ptr::copy_nonoverlapping(self.data.ptr(), res.as_mut_ptr() as *mut N, $SZRows * $SZCols) };
unsafe { res.assume_init() }
}
}
impl<N: Scalar, S> AsRef<[[N; $SZRows]; $SZCols]> for Matrix<N, $NRows, $NCols, S>
where S: ContiguousStorage<N, $NRows, $NCols> {
#[inline]
fn as_ref(&self) -> &[[N; $SZRows]; $SZCols] {
unsafe {
mem::transmute(self.data.ptr())
}
}
}
impl<N: Scalar, S> AsMut<[[N; $SZRows]; $SZCols]> for Matrix<N, $NRows, $NCols, S>
where S: ContiguousStorageMut<N, $NRows, $NCols> {
#[inline]
fn as_mut(&mut self) -> &mut [[N; $SZRows]; $SZCols] {
unsafe {
mem::transmute(self.data.ptr_mut())
}
}
}
)*}
);
// Implement for matrices with shape 2x2 .. 6x6.
impl_from_into_asref_2D!(
(U2, U2) => (2, 2); (U2, U3) => (2, 3); (U2, U4) => (2, 4); (U2, U5) => (2, 5); (U2, U6) => (2, 6);
(U3, U2) => (3, 2); (U3, U3) => (3, 3); (U3, U4) => (3, 4); (U3, U5) => (3, 5); (U3, U6) => (3, 6);
(U4, U2) => (4, 2); (U4, U3) => (4, 3); (U4, U4) => (4, 4); (U4, U5) => (4, 5); (U4, U6) => (4, 6);
(U5, U2) => (5, 2); (U5, U3) => (5, 3); (U5, U4) => (5, 4); (U5, U5) => (5, 5); (U5, U6) => (5, 6);
(U6, U2) => (6, 2); (U6, U3) => (6, 3); (U6, U4) => (6, 4); (U6, U5) => (6, 5); (U6, U6) => (6, 6);
);
#[cfg(feature = "mint")]
macro_rules! impl_from_into_mint_1D(
($($NRows: ident => $VT:ident [$SZ: expr]);* $(;)*) => {$(
impl<N> From<mint::$VT<N>> for MatrixMN<N, $NRows, U1>
where N: Scalar,
DefaultAllocator: Allocator<N, $NRows, U1> {
#[inline]
fn from(v: mint::$VT<N>) -> Self {
unsafe {
let mut res = Self::new_uninitialized();
ptr::copy_nonoverlapping(&v.x, res.data.ptr_mut(), $SZ);
res
}
}
}
impl<N, S> Into<mint::$VT<N>> for Matrix<N, $NRows, U1, S>
where N: Scalar,
S: ContiguousStorage<N, $NRows, U1> {
#[inline]
fn into(self) -> mint::$VT<N> {
unsafe {
let mut res: mint::$VT<N> = mem::MaybeUninit::uninit().assume_init();
ptr::copy_nonoverlapping(self.data.ptr(), &mut res.x, $SZ);
res
}
}
}
impl<N, S> AsRef<mint::$VT<N>> for Matrix<N, $NRows, U1, S>
where N: Scalar,
S: ContiguousStorage<N, $NRows, U1> {
#[inline]
fn as_ref(&self) -> &mint::$VT<N> {
unsafe {
mem::transmute(self.data.ptr())
}
}
}
impl<N, S> AsMut<mint::$VT<N>> for Matrix<N, $NRows, U1, S>
where N: Scalar,
S: ContiguousStorageMut<N, $NRows, U1> {
#[inline]
fn as_mut(&mut self) -> &mut mint::$VT<N> {
unsafe {
mem::transmute(self.data.ptr_mut())
}
}
}
)*}
);
// Implement for vectors of dimension 2 .. 4.
#[cfg(feature = "mint")]
impl_from_into_mint_1D!(
U2 => Vector2[2];
U3 => Vector3[3];
U4 => Vector4[4];
);
#[cfg(feature = "mint")]
macro_rules! impl_from_into_mint_2D(
($(($NRows: ty, $NCols: ty) => $MV:ident{ $($component:ident),* }[$SZRows: expr]);* $(;)*) => {$(
impl<N> From<mint::$MV<N>> for MatrixMN<N, $NRows, $NCols>
where N: Scalar,
DefaultAllocator: Allocator<N, $NRows, $NCols> {
#[inline]
fn from(m: mint::$MV<N>) -> Self {
unsafe {
let mut res = Self::new_uninitialized();
let mut ptr = (*res).data.ptr_mut();
$(
ptr::copy_nonoverlapping(&m.$component.x, ptr, $SZRows);
ptr = ptr.offset($SZRows);
)*
let _ = ptr;
res.assume_init()
}
}
}
impl<N> Into<mint::$MV<N>> for MatrixMN<N, $NRows, $NCols>
where N: Scalar,
DefaultAllocator: Allocator<N, $NRows, $NCols> {
#[inline]
fn into(self) -> mint::$MV<N> {
unsafe {
let mut res: mint::$MV<N> = mem::MaybeUninit::uninit().assume_init();
let mut ptr = self.data.ptr();
$(
ptr::copy_nonoverlapping(ptr, &mut res.$component.x, $SZRows);
ptr = ptr.offset($SZRows);
)*
let _ = ptr;
res
}
}
}
)*}
);
// Implement for matrices with shape 2x2 .. 4x4.
#[cfg(feature = "mint")]
impl_from_into_mint_2D!(
(U2, U2) => ColumnMatrix2{x, y}[2];
(U2, U3) => ColumnMatrix2x3{x, y, z}[2];
(U3, U3) => ColumnMatrix3{x, y, z}[3];
(U3, U4) => ColumnMatrix3x4{x, y, z, w}[3];
(U4, U4) => ColumnMatrix4{x, y, z, w}[4];
);
impl<'a, N, R, C, RStride, CStride> From<MatrixSlice<'a, N, R, C, RStride, CStride>>
for Matrix<N, R, C, ArrayStorage<N, R, C>>
where
N: Scalar,
R: DimName,
C: DimName,
RStride: Dim,
CStride: Dim,
R::Value: Mul<C::Value>,
Prod<R::Value, C::Value>: ArrayLength<N>,
{
fn from(matrix_slice: MatrixSlice<'a, N, R, C, RStride, CStride>) -> Self {
matrix_slice.into_owned()
}
}
#[cfg(any(feature = "std", feature = "alloc"))]
impl<'a, N, C, RStride, CStride> From<MatrixSlice<'a, N, Dynamic, C, RStride, CStride>>
for Matrix<N, Dynamic, C, VecStorage<N, Dynamic, C>>
where
N: Scalar,
C: Dim,
RStride: Dim,
CStride: Dim,
{
fn from(matrix_slice: MatrixSlice<'a, N, Dynamic, C, RStride, CStride>) -> Self {
matrix_slice.into_owned()
}
}
#[cfg(any(feature = "std", feature = "alloc"))]
impl<'a, N, R, RStride, CStride> From<MatrixSlice<'a, N, R, Dynamic, RStride, CStride>>
for Matrix<N, R, Dynamic, VecStorage<N, R, Dynamic>>
where
N: Scalar,
R: DimName,
RStride: Dim,
CStride: Dim,
{
fn from(matrix_slice: MatrixSlice<'a, N, R, Dynamic, RStride, CStride>) -> Self {
matrix_slice.into_owned()
}
}
impl<'a, N, R, C, RStride, CStride> From<MatrixSliceMut<'a, N, R, C, RStride, CStride>>
for Matrix<N, R, C, ArrayStorage<N, R, C>>
where
N: Scalar,
R: DimName,
C: DimName,
RStride: Dim,
CStride: Dim,
R::Value: Mul<C::Value>,
Prod<R::Value, C::Value>: ArrayLength<N>,
{
fn from(matrix_slice: MatrixSliceMut<'a, N, R, C, RStride, CStride>) -> Self {
matrix_slice.into_owned()
}
}
#[cfg(any(feature = "std", feature = "alloc"))]
impl<'a, N, C, RStride, CStride> From<MatrixSliceMut<'a, N, Dynamic, C, RStride, CStride>>
for Matrix<N, Dynamic, C, VecStorage<N, Dynamic, C>>
where
N: Scalar,
C: Dim,
RStride: Dim,
CStride: Dim,
{
fn from(matrix_slice: MatrixSliceMut<'a, N, Dynamic, C, RStride, CStride>) -> Self {
matrix_slice.into_owned()
}
}
#[cfg(any(feature = "std", feature = "alloc"))]
impl<'a, N, R, RStride, CStride> From<MatrixSliceMut<'a, N, R, Dynamic, RStride, CStride>>
for Matrix<N, R, Dynamic, VecStorage<N, R, Dynamic>>
where
N: Scalar,
R: DimName,
RStride: Dim,
CStride: Dim,
{
fn from(matrix_slice: MatrixSliceMut<'a, N, R, Dynamic, RStride, CStride>) -> Self {
matrix_slice.into_owned()
}
}
impl<'a, N, R, C, RSlice, CSlice, RStride, CStride, S> From<&'a Matrix<N, R, C, S>>
for MatrixSlice<'a, N, RSlice, CSlice, RStride, CStride>
where
N: Scalar,
R: Dim,
C: Dim,
RSlice: Dim,
CSlice: Dim,
RStride: Dim,
CStride: Dim,
S: Storage<N, R, C>,
ShapeConstraint: DimEq<R, RSlice>
+ DimEq<C, CSlice>
+ DimEq<RStride, S::RStride>
+ DimEq<CStride, S::CStride>,
{
fn from(m: &'a Matrix<N, R, C, S>) -> Self {
let (row, col) = m.data.shape();
let row_slice = RSlice::from_usize(row.value());
let col_slice = CSlice::from_usize(col.value());
let (rstride, cstride) = m.strides();
let rstride_slice = RStride::from_usize(rstride);
let cstride_slice = CStride::from_usize(cstride);
unsafe {
let data = SliceStorage::from_raw_parts(
m.data.ptr(),
(row_slice, col_slice),
(rstride_slice, cstride_slice),
);
Matrix::from_data_statically_unchecked(data)
}
}
}
impl<'a, N, R, C, RSlice, CSlice, RStride, CStride, S> From<&'a mut Matrix<N, R, C, S>>
for MatrixSlice<'a, N, RSlice, CSlice, RStride, CStride>
where
N: Scalar,
R: Dim,
C: Dim,
RSlice: Dim,
CSlice: Dim,
RStride: Dim,
CStride: Dim,
S: Storage<N, R, C>,
ShapeConstraint: DimEq<R, RSlice>
+ DimEq<C, CSlice>
+ DimEq<RStride, S::RStride>
+ DimEq<CStride, S::CStride>,
{
fn from(m: &'a mut Matrix<N, R, C, S>) -> Self {
let (row, col) = m.data.shape();
let row_slice = RSlice::from_usize(row.value());
let col_slice = CSlice::from_usize(col.value());
let (rstride, cstride) = m.strides();
let rstride_slice = RStride::from_usize(rstride);
let cstride_slice = CStride::from_usize(cstride);
unsafe {
let data = SliceStorage::from_raw_parts(
m.data.ptr(),
(row_slice, col_slice),
(rstride_slice, cstride_slice),
);
Matrix::from_data_statically_unchecked(data)
}
}
}
impl<'a, N, R, C, RSlice, CSlice, RStride, CStride, S> From<&'a mut Matrix<N, R, C, S>>
for MatrixSliceMut<'a, N, RSlice, CSlice, RStride, CStride>
where
N: Scalar,
R: Dim,
C: Dim,
RSlice: Dim,
CSlice: Dim,
RStride: Dim,
CStride: Dim,
S: StorageMut<N, R, C>,
ShapeConstraint: DimEq<R, RSlice>
+ DimEq<C, CSlice>
+ DimEq<RStride, S::RStride>
+ DimEq<CStride, S::CStride>,
{
fn from(m: &'a mut Matrix<N, R, C, S>) -> Self {
let (row, col) = m.data.shape();
let row_slice = RSlice::from_usize(row.value());
let col_slice = CSlice::from_usize(col.value());
let (rstride, cstride) = m.strides();
let rstride_slice = RStride::from_usize(rstride);
let cstride_slice = CStride::from_usize(cstride);
unsafe {
let data = SliceStorageMut::from_raw_parts(
m.data.ptr_mut(),
(row_slice, col_slice),
(rstride_slice, cstride_slice),
);
Matrix::from_data_statically_unchecked(data)
}
}
}
#[cfg(any(feature = "std", feature = "alloc"))]
impl<'a, N: Scalar> From<Vec<N>> for DVector<N> {
#[inline]
fn from(vec: Vec<N>) -> Self {
Self::from_vec(vec)
}
}
impl<'a, N: Scalar + Copy, R: Dim, C: Dim, S: ContiguousStorage<N, R, C>> Into<&'a [N]>
for &'a Matrix<N, R, C, S>
{
#[inline]
fn into(self) -> &'a [N] {
self.as_slice()
}
}
impl<'a, N: Scalar + Copy, R: Dim, C: Dim, S: ContiguousStorageMut<N, R, C>> Into<&'a mut [N]>
for &'a mut Matrix<N, R, C, S>
{
#[inline]
fn into(self) -> &'a mut [N] {
self.as_mut_slice()
}
}
impl<'a, N: Scalar + Copy> From<&'a [N]> for DVectorSlice<'a, N> {
#[inline]
fn from(slice: &'a [N]) -> Self {
Self::from_slice(slice, slice.len())
}
}
impl<'a, N: Scalar + Copy> From<&'a mut [N]> for DVectorSliceMut<'a, N> {
#[inline]
fn from(slice: &'a mut [N]) -> Self {
Self::from_slice(slice, slice.len())
}
}
impl<N: Scalar + PrimitiveSimdValue, R: Dim, C: Dim> From<[MatrixMN<N::Element, R, C>; 2]>
for MatrixMN<N, R, C>
where
N: From<[<N as SimdValue>::Element; 2]>,
N::Element: Scalar + SimdValue,
DefaultAllocator: Allocator<N, R, C> + Allocator<N::Element, R, C>,
{
#[inline]
fn from(arr: [MatrixMN<N::Element, R, C>; 2]) -> Self {
let (nrows, ncols) = arr[0].data.shape();
Self::from_fn_generic(nrows, ncols, |i, j| {
[
arr[0][(i, j)].inlined_clone(),
arr[1][(i, j)].inlined_clone(),
]
.into()
})
}
}
impl<N: Scalar + PrimitiveSimdValue, R: Dim, C: Dim> From<[MatrixMN<N::Element, R, C>; 4]>
for MatrixMN<N, R, C>
where
N: From<[<N as SimdValue>::Element; 4]>,
N::Element: Scalar + SimdValue,
DefaultAllocator: Allocator<N, R, C> + Allocator<N::Element, R, C>,
{
#[inline]
fn from(arr: [MatrixMN<N::Element, R, C>; 4]) -> Self {
let (nrows, ncols) = arr[0].data.shape();
Self::from_fn_generic(nrows, ncols, |i, j| {
[
arr[0][(i, j)].inlined_clone(),
arr[1][(i, j)].inlined_clone(),
arr[2][(i, j)].inlined_clone(),
arr[3][(i, j)].inlined_clone(),
]
.into()
})
}
}
impl<N: Scalar + PrimitiveSimdValue, R: Dim, C: Dim> From<[MatrixMN<N::Element, R, C>; 8]>
for MatrixMN<N, R, C>
where
N: From<[<N as SimdValue>::Element; 8]>,
N::Element: Scalar + SimdValue,
DefaultAllocator: Allocator<N, R, C> + Allocator<N::Element, R, C>,
{
#[inline]
fn from(arr: [MatrixMN<N::Element, R, C>; 8]) -> Self {
let (nrows, ncols) = arr[0].data.shape();
Self::from_fn_generic(nrows, ncols, |i, j| {
[
arr[0][(i, j)].inlined_clone(),
arr[1][(i, j)].inlined_clone(),
arr[2][(i, j)].inlined_clone(),
arr[3][(i, j)].inlined_clone(),
arr[4][(i, j)].inlined_clone(),
arr[5][(i, j)].inlined_clone(),
arr[6][(i, j)].inlined_clone(),
arr[7][(i, j)].inlined_clone(),
]
.into()
})
}
}
impl<N: Scalar + PrimitiveSimdValue, R: Dim, C: Dim> From<[MatrixMN<N::Element, R, C>; 16]>
for MatrixMN<N, R, C>
where
N: From<[<N as SimdValue>::Element; 16]>,
N::Element: Scalar + SimdValue,
DefaultAllocator: Allocator<N, R, C> + Allocator<N::Element, R, C>,
{
fn from(arr: [MatrixMN<N::Element, R, C>; 16]) -> Self {
let (nrows, ncols) = arr[0].data.shape();
Self::from_fn_generic(nrows, ncols, |i, j| {
[
arr[0][(i, j)].inlined_clone(),
arr[1][(i, j)].inlined_clone(),
arr[2][(i, j)].inlined_clone(),
arr[3][(i, j)].inlined_clone(),
arr[4][(i, j)].inlined_clone(),
arr[5][(i, j)].inlined_clone(),
arr[6][(i, j)].inlined_clone(),
arr[7][(i, j)].inlined_clone(),
arr[8][(i, j)].inlined_clone(),
arr[9][(i, j)].inlined_clone(),
arr[10][(i, j)].inlined_clone(),
arr[11][(i, j)].inlined_clone(),
arr[12][(i, j)].inlined_clone(),
arr[13][(i, j)].inlined_clone(),
arr[14][(i, j)].inlined_clone(),
arr[15][(i, j)].inlined_clone(),
]
.into()
})
}
}