opensrdk-linear-algebra 0.7.0

Standard linear algebra library using blas and lapack for OpenSRDK toolchain.
Documentation 
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use crate::matrix::Matrix;
use crate::number::{c64, Number};
use rayon::prelude::*;
use std::ops::Sub;

fn sub_scalar<T>(lhs: Matrix<T>, rhs: T) -> Matrix<T>
where
  T: Number,
{
  let mut lhs = lhs;

  lhs
    .elems
    .par_iter_mut()
    .map(|l| {
      *l -= rhs;
    })
    .collect::<Vec<_>>();

  lhs
}

impl<T> Sub<T> for Matrix<T>
where
  T: Number,
{
  type Output = Matrix<T>;

  fn sub(self, rhs: T) -> Self::Output {
    sub_scalar(self, rhs)
  }
}

impl Sub<Matrix> for f64 {
  type Output = Matrix;

  fn sub(self, rhs: Matrix) -> Self::Output {
    sub_scalar(rhs, self)
  }
}

impl Sub<Matrix<c64>> for c64 {
  type Output = Matrix<c64>;

  fn sub(self, rhs: Matrix<c64>) -> Self::Output {
    sub_scalar(rhs, self)
  }
}

fn sub<T>(lhs: Matrix<T>, rhs: &Matrix<T>) -> Matrix<T>
where
  T: Number,
{
  if !lhs.same_size(rhs) {
    panic!("Dimension mismatch.")
  }
  let mut lhs = lhs;

  lhs
    .elems
    .par_iter_mut()
    .zip(rhs.elems.par_iter())
    .map(|(l, &r)| {
      *l -= r;
    })
    .collect::<Vec<_>>();

  lhs
}

impl<T> Sub<Matrix<T>> for Matrix<T>
where
  T: Number,
{
  type Output = Matrix<T>;

  fn sub(self, rhs: Matrix<T>) -> Self::Output {
    sub(self, &rhs)
  }
}

impl<T> Sub<&Matrix<T>> for Matrix<T>
where
  T: Number,
{
  type Output = Matrix<T>;

  fn sub(self, rhs: &Matrix<T>) -> Self::Output {
    sub(self, rhs)
  }
}

impl<T> Sub<Matrix<T>> for &Matrix<T>
where
  T: Number,
{
  type Output = Matrix<T>;

  fn sub(self, rhs: Matrix<T>) -> Self::Output {
    sub(rhs, self)
  }
}