vectorama 0.1.1

Very simple linear algebra library for Rust
Documentation 
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use std::ops::{Sub, SubAssign};

use crate::matrix::Matrix;

// Matrix -----------------------------------------------------------------------------------------
impl<const M: usize, const N: usize> Sub<&Matrix<M, N>> for &Matrix<M, N> {
    type Output = Matrix<M, N>;

    fn sub(self, rhs: &Matrix<M, N>) -> Self::Output {
        let mut result = Matrix::zeros();
        for m in 0..M {
            for n in 0..N {
                result[(m, n)] = self[(m, n)] - rhs[(m, n)];
            }
        }
        result
    }
}

#[allow(clippy::op_ref)]
impl<const M: usize, const N: usize> Sub<Matrix<M, N>> for &Matrix<M, N> {
    type Output = Matrix<M, N>;

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

#[allow(clippy::op_ref)]
impl<const M: usize, const N: usize> Sub<&Matrix<M, N>> for Matrix<M, N> {
    type Output = Matrix<M, N>;

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

impl<const M: usize, const N: usize> Sub<Matrix<M, N>> for Matrix<M, N> {
    type Output = Matrix<M, N>;

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

impl<const M: usize, const N: usize> SubAssign<&Matrix<M, N>> for Matrix<M, N> {
    fn sub_assign(&mut self, rhs: &Self) {
        for m in 0..M {
            for n in 0..N {
                self[(m, n)] -= rhs[(m, n)];
            }
        }
    }
}

impl<const M: usize, const N: usize> SubAssign<Matrix<M, N>> for Matrix<M, N> {
    fn sub_assign(&mut self, rhs: Self) {
        *self -= &rhs;
    }
}
// Matrix -----------------------------------------------------------------------------------------