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use ndarray::*;
use super::error::*;
use super::layout::*;
use lapack_traits::LapackScalar;
pub trait SVD<U, S, VT> {
fn svd(self, calc_u: bool, calc_vt: bool) -> Result<(Option<U>, S, Option<VT>)>;
}
impl<A, S, Su, Svt, Ss> SVD<ArrayBase<Su, Ix2>, ArrayBase<Ss, Ix1>, ArrayBase<Svt, Ix2>> for ArrayBase<S, Ix2>
where A: LapackScalar,
S: DataMut<Elem = A>,
Su: DataOwned<Elem = A>,
Svt: DataOwned<Elem = A>,
Ss: DataOwned<Elem = A::Real>
{
fn svd(mut self,
calc_u: bool,
calc_vt: bool)
-> Result<(Option<ArrayBase<Su, Ix2>>, ArrayBase<Ss, Ix1>, Option<ArrayBase<Svt, Ix2>>)> {
(&mut self).svd(calc_u, calc_vt)
}
}
impl<'a, A, S, Su, Svt, Ss> SVD<ArrayBase<Su, Ix2>, ArrayBase<Ss, Ix1>, ArrayBase<Svt, Ix2>> for &'a ArrayBase<S, Ix2>
where A: LapackScalar + Clone,
S: Data<Elem = A>,
Su: DataOwned<Elem = A>,
Svt: DataOwned<Elem = A>,
Ss: DataOwned<Elem = A::Real>
{
fn svd(self,
calc_u: bool,
calc_vt: bool)
-> Result<(Option<ArrayBase<Su, Ix2>>, ArrayBase<Ss, Ix1>, Option<ArrayBase<Svt, Ix2>>)> {
let a = self.to_owned();
a.svd(calc_u, calc_vt)
}
}
impl<'a, A, S, Su, Svt, Ss> SVD<ArrayBase<Su, Ix2>, ArrayBase<Ss, Ix1>, ArrayBase<Svt, Ix2>>
for &'a mut ArrayBase<S, Ix2>
where A: LapackScalar,
S: DataMut<Elem = A>,
Su: DataOwned<Elem = A>,
Svt: DataOwned<Elem = A>,
Ss: DataOwned<Elem = A::Real>
{
fn svd(mut self,
calc_u: bool,
calc_vt: bool)
-> Result<(Option<ArrayBase<Su, Ix2>>, ArrayBase<Ss, Ix1>, Option<ArrayBase<Svt, Ix2>>)> {
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| reconstruct(l.resized(n, n), u).unwrap());
let vt = svd_res.vt.map(|vt| reconstruct(l.resized(m, m), vt).unwrap());
let s = ArrayBase::from_vec(svd_res.s);
Ok((u, s, vt))
}
}