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use ndarray::*;
use super::convert::*;
use super::error::*;
use super::layout::*;
use super::types::*;
pub trait SVD {
type U;
type VT;
type Sigma;
fn svd(&self, calc_u: bool, calc_vt: bool) -> Result<(Option<Self::U>, Self::Sigma, Option<Self::VT>)>;
}
pub trait SVDInto {
type U;
type VT;
type Sigma;
fn svd_into(self, calc_u: bool, calc_vt: bool) -> Result<(Option<Self::U>, Self::Sigma, Option<Self::VT>)>;
}
pub trait SVDMut {
type U;
type VT;
type Sigma;
fn svd_mut(&mut self, calc_u: bool, calc_vt: bool) -> Result<(Option<Self::U>, Self::Sigma, Option<Self::VT>)>;
}
impl<A, S> SVDInto for ArrayBase<S, Ix2>
where
A: Scalar,
S: DataMut<Elem = A>,
{
type U = Array2<A>;
type VT = Array2<A>;
type Sigma = Array1<A::Real>;
fn svd_into(mut self, calc_u: bool, calc_vt: bool) -> Result<(Option<Self::U>, Self::Sigma, Option<Self::VT>)> {
self.svd_mut(calc_u, calc_vt)
}
}
impl<A, S> SVD for ArrayBase<S, Ix2>
where
A: Scalar,
S: Data<Elem = A>,
{
type U = Array2<A>;
type VT = Array2<A>;
type Sigma = Array1<A::Real>;
fn svd(&self, calc_u: bool, calc_vt: bool) -> Result<(Option<Self::U>, Self::Sigma, Option<Self::VT>)> {
let a = self.to_owned();
a.svd_into(calc_u, calc_vt)
}
}
impl<A, S> SVDMut for ArrayBase<S, Ix2>
where
A: Scalar,
S: DataMut<Elem = A>,
{
type U = Array2<A>;
type VT = Array2<A>;
type Sigma = Array1<A::Real>;
fn svd_mut(&mut self, calc_u: bool, calc_vt: bool) -> Result<(Option<Self::U>, Self::Sigma, Option<Self::VT>)> {
let l = self.layout()?;
let svd_res = A::svd(l, calc_u, calc_vt, self.as_allocated_mut()?)?;
let (n, m) = l.size();
let u = svd_res.u.map(|u| into_matrix(l.resized(n, n), u).unwrap());
let vt = svd_res.vt.map(
|vt| into_matrix(l.resized(m, m), vt).unwrap(),
);
let s = ArrayBase::from_vec(svd_res.s);
Ok((u, s, vt))
}
}