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