cargo fmt

This commit is contained in:
Linus Behrbohm 2021-02-22 01:03:46 +01:00
parent 267eb01fe5
commit 89a9dedcd5
4 changed files with 38 additions and 30 deletions

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@ -18,7 +18,7 @@ use crate::base::{DefaultAllocator, Scalar};
/// same `Buffer` type. /// same `Buffer` type.
pub trait Allocator<N: Scalar, R: Dim, C: Dim = U1>: Any + Sized { pub trait Allocator<N: Scalar, R: Dim, C: Dim = U1>: Any + Sized {
/// The type of buffer this allocator can instanciate. /// The type of buffer this allocator can instanciate.
type Buffer: ContiguousStorageMut<N, R, C> + Clone + IntoIterator<Item=N>; type Buffer: ContiguousStorageMut<N, R, C> + Clone + IntoIterator<Item = N>;
/// Allocates a buffer with the given number of rows and columns without initializing its content. /// Allocates a buffer with the given number of rows and columns without initializing its content.
unsafe fn allocate_uninitialized(nrows: R, ncols: C) -> Self::Buffer; unsafe fn allocate_uninitialized(nrows: R, ncols: C) -> Self::Buffer;

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@ -21,7 +21,7 @@ use crate::base::dimension::{
Dim, DimName, U1, U10, U11, U12, U13, U14, U15, U16, U2, U3, U4, U5, U6, U7, U8, U9, 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::iter::{MatrixIter, MatrixIterMut};
use crate::base::storage::{ContiguousStorage, ContiguousStorageMut, Storage, StorageMut, Owned}; use crate::base::storage::{ContiguousStorage, ContiguousStorageMut, Owned, Storage, StorageMut};
use crate::base::{ use crate::base::{
ArrayStorage, DVectorSlice, DVectorSliceMut, DefaultAllocator, Matrix, MatrixMN, MatrixSlice, ArrayStorage, DVectorSlice, DVectorSliceMut, DefaultAllocator, Matrix, MatrixMN, MatrixSlice,
MatrixSliceMut, Scalar, MatrixSliceMut, Scalar,
@ -87,7 +87,8 @@ where
} }
impl<N: Scalar, R: Dim, C: Dim> IntoIterator for Matrix<N, R, C, Owned<N, R, C>> impl<N: Scalar, R: Dim, C: Dim> IntoIterator for Matrix<N, R, C, Owned<N, R, C>>
where DefaultAllocator: Allocator<N, R, C> where
DefaultAllocator: Allocator<N, R, C>,
{ {
type Item = N; type Item = N;
type IntoIter = <Owned<N, R, C> as IntoIterator>::IntoIter; type IntoIter = <Owned<N, R, C> as IntoIterator>::IntoIter;

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@ -3,9 +3,9 @@
use std::marker::PhantomData; use std::marker::PhantomData;
use std::mem; use std::mem;
use crate::base::dimension::{Dim, U1, Dynamic}; use crate::base::dimension::{Dim, Dynamic, U1};
use crate::base::storage::{Storage, StorageMut, Owned}; use crate::base::storage::{Owned, Storage, StorageMut};
use crate::base::{Matrix, MatrixSlice, MatrixSliceMut, Scalar, Vector, RowVector}; use crate::base::{Matrix, MatrixSlice, MatrixSliceMut, RowVector, Scalar, Vector};
macro_rules! iterator { macro_rules! iterator {
(struct $Name:ident for $Storage:ident.$ptr: ident -> $Ptr:ty, $Ref:ty, $SRef: ty) => { (struct $Name:ident for $Storage:ident.$ptr: ident -> $Ptr:ty, $Ref:ty, $SRef: ty) => {
@ -252,12 +252,19 @@ impl<N: Scalar> OwnedRowIter<N> {
rows[i % nrows].push(item); rows[i % nrows].push(item);
i += 1; i += 1;
} }
let rows: Vec<RowVector<N, Dynamic, Owned<N, U1, Dynamic>>> = let rows: Vec<RowVector<N, Dynamic, Owned<N, U1, Dynamic>>> = rows
rows.into_iter() .into_iter()
.map(|row| RowVector::<N, Dynamic, Owned<N, U1, Dynamic>>::from_iterator_generic( .map(|row| {
U1::from_usize(1), Dynamic::from_usize(ncols), row.into_iter())) RowVector::<N, Dynamic, Owned<N, U1, Dynamic>>::from_iterator_generic(
U1::from_usize(1),
Dynamic::from_usize(ncols),
row.into_iter(),
)
})
.collect(); .collect();
OwnedRowIter { rows: rows.into_iter() } OwnedRowIter {
rows: rows.into_iter(),
}
} }
} }
@ -280,9 +287,7 @@ impl<N: Scalar> Iterator for OwnedRowIter<N> {
} }
} }
impl<N: Scalar> ExactSizeIterator impl<N: Scalar> ExactSizeIterator for OwnedRowIter<N> {
for OwnedRowIter<N>
{
#[inline] #[inline]
fn len(&self) -> usize { fn len(&self) -> usize {
self.rows.len() self.rows.len()
@ -418,17 +423,19 @@ impl<N: Scalar> OwnedColumnIter<N> {
cols[i / nrows].push(item); cols[i / nrows].push(item);
i += 1; i += 1;
} }
let cols: Vec<Vector<N, Dynamic, Owned<N, Dynamic, U1>>> = let cols: Vec<Vector<N, Dynamic, Owned<N, Dynamic, U1>>> = cols
cols.into_iter() .into_iter()
.map(|col| .map(|col| {
Vector::<N, Dynamic, Owned<N, Dynamic, U1>>::from_iterator_generic( Vector::<N, Dynamic, Owned<N, Dynamic, U1>>::from_iterator_generic(
Dynamic::from_usize(nrows), Dynamic::from_usize(nrows),
U1::from_usize(1), U1::from_usize(1),
col.into_iter() col.into_iter(),
)
) )
})
.collect(); .collect();
OwnedColumnIter { cols: cols.into_iter() } OwnedColumnIter {
cols: cols.into_iter(),
}
} }
} }
@ -451,8 +458,7 @@ impl<N: Scalar> Iterator for OwnedColumnIter<N> {
} }
} }
impl<N: Scalar> ExactSizeIterator impl<N: Scalar> ExactSizeIterator for OwnedColumnIter<N> {
for OwnedColumnIter<N> {
#[inline] #[inline]
fn len(&self) -> usize { fn len(&self) -> usize {
self.cols.len() self.cols.len()

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@ -21,12 +21,13 @@ use simba::simd::SimdPartialOrd;
use crate::base::allocator::{Allocator, SameShapeAllocator, SameShapeC, SameShapeR}; use crate::base::allocator::{Allocator, SameShapeAllocator, SameShapeC, SameShapeR};
use crate::base::constraint::{DimEq, SameNumberOfColumns, SameNumberOfRows, ShapeConstraint}; use crate::base::constraint::{DimEq, SameNumberOfColumns, SameNumberOfRows, ShapeConstraint};
use crate::base::dimension::{Dim, DimAdd, DimSum, IsNotStaticOne, U1, U2, U3, Dynamic}; use crate::base::dimension::{Dim, DimAdd, DimSum, Dynamic, IsNotStaticOne, U1, U2, U3};
use crate::base::iter::{ use crate::base::iter::{
ColumnIter, ColumnIterMut, OwnedColumnIter, MatrixIter, MatrixIterMut, RowIter, RowIterMut, OwnedRowIter, ColumnIter, ColumnIterMut, MatrixIter, MatrixIterMut, OwnedColumnIter, OwnedRowIter, RowIter,
RowIterMut,
}; };
use crate::base::storage::{ use crate::base::storage::{
ContiguousStorage, ContiguousStorageMut, SameShapeStorage, Storage, StorageMut, Owned ContiguousStorage, ContiguousStorageMut, Owned, SameShapeStorage, Storage, StorageMut,
}; };
use crate::base::{DefaultAllocator, MatrixMN, MatrixN, Scalar, Unit, VectorN}; use crate::base::{DefaultAllocator, MatrixMN, MatrixN, Scalar, Unit, VectorN};
use crate::SimdComplexField; use crate::SimdComplexField;