nalgebra/src/linalg/permutation_sequence.rs

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#[cfg(feature = "serde-serialize")]
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use serde::{Deserialize, Serialize};
use alga::general::ClosedNeg;
use num::One;
use allocator::Allocator;
use base::{DefaultAllocator, Matrix, Scalar, VectorN};
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#[cfg(any(feature = "std", feature = "alloc"))]
use dimension::Dynamic;
use dimension::{Dim, DimName, U1};
use storage::StorageMut;
/// A sequence of row or column permutations.
#[cfg_attr(feature = "serde-serialize", derive(Serialize, Deserialize))]
#[cfg_attr(
feature = "serde-serialize",
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serde(bound(
serialize = "DefaultAllocator: Allocator<(usize, usize), D>,
VectorN<(usize, usize), D>: Serialize"
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))
)]
#[cfg_attr(
feature = "serde-serialize",
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serde(bound(
deserialize = "DefaultAllocator: Allocator<(usize, usize), D>,
VectorN<(usize, usize), D>: Deserialize<'de>"
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))
)]
#[derive(Clone, Debug)]
pub struct PermutationSequence<D: Dim>
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where DefaultAllocator: Allocator<(usize, usize), D>
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{
len: usize,
ipiv: VectorN<(usize, usize), D>,
}
impl<D: Dim> Copy for PermutationSequence<D>
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where
DefaultAllocator: Allocator<(usize, usize), D>,
VectorN<(usize, usize), D>: Copy,
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{}
impl<D: DimName> PermutationSequence<D>
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where DefaultAllocator: Allocator<(usize, usize), D>
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{
/// Creates a new statically-allocated sequence of `D` identity permutations.
#[inline]
pub fn identity() -> Self {
Self::identity_generic(D::name())
}
}
#[cfg(any(feature = "std", feature = "alloc"))]
impl PermutationSequence<Dynamic>
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where DefaultAllocator: Allocator<(usize, usize), Dynamic>
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{
/// Creates a new dynamically-allocated sequence of `n` identity permutations.
#[inline]
pub fn identity(n: usize) -> Self {
Self::identity_generic(Dynamic::new(n))
}
}
impl<D: Dim> PermutationSequence<D>
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where DefaultAllocator: Allocator<(usize, usize), D>
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{
/// Creates a new sequence of D identity permutations.
#[inline]
pub fn identity_generic(dim: D) -> Self {
unsafe {
Self {
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len: 0,
ipiv: VectorN::new_uninitialized_generic(dim, U1),
}
}
}
/// Adds the interchange of the row (or column) `i` with the row (or column) `i2` to this
/// sequence of permutations.
#[inline]
pub fn append_permutation(&mut self, i: usize, i2: usize) {
if i != i2 {
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assert!(
self.len < self.ipiv.len(),
"Maximum number of permutations exceeded."
);
self.ipiv[self.len] = (i, i2);
self.len += 1;
}
}
/// Applies this sequence of permutations to the rows of `rhs`.
#[inline]
pub fn permute_rows<N: Scalar, R2: Dim, C2: Dim, S2>(&self, rhs: &mut Matrix<N, R2, C2, S2>)
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where S2: StorageMut<N, R2, C2> {
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for i in self.ipiv.rows_range(..self.len).iter() {
rhs.swap_rows(i.0, i.1)
}
}
/// Applies this sequence of permutations in reverse to the rows of `rhs`.
#[inline]
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pub fn inv_permute_rows<N: Scalar, R2: Dim, C2: Dim, S2>(
&self,
rhs: &mut Matrix<N, R2, C2, S2>,
) where
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S2: StorageMut<N, R2, C2>,
{
for i in 0..self.len {
let (i1, i2) = self.ipiv[self.len - i - 1];
rhs.swap_rows(i1, i2)
}
}
/// Applies this sequence of permutations to the columns of `rhs`.
#[inline]
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pub fn permute_columns<N: Scalar, R2: Dim, C2: Dim, S2>(
&self,
rhs: &mut Matrix<N, R2, C2, S2>,
) where
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S2: StorageMut<N, R2, C2>,
{
for i in self.ipiv.rows_range(..self.len).iter() {
rhs.swap_columns(i.0, i.1)
}
}
/// Applies this sequence of permutations in reverse to the columns of `rhs`.
#[inline]
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pub fn inv_permute_columns<N: Scalar, R2: Dim, C2: Dim, S2>(
&self,
rhs: &mut Matrix<N, R2, C2, S2>,
) where
S2: StorageMut<N, R2, C2>,
{
for i in 0..self.len {
let (i1, i2) = self.ipiv[self.len - i - 1];
rhs.swap_columns(i1, i2)
}
}
/// The number of non-identity permutations applied by this sequence.
pub fn len(&self) -> usize {
self.len
}
/// The determinant of the matrix corresponding to this permutation.
#[inline]
pub fn determinant<N: One + ClosedNeg>(&self) -> N {
if self.len % 2 == 0 {
N::one()
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} else {
-N::one()
}
}
}