// Copyright 2018-2020 argmin developers
//
// Licensed under the Apache License, Version 2.0 <LICENSE-APACHE or
// http://apache.org/licenses/LICENSE-2.0> or the MIT license <LICENSE-MIT or
// http://opensource.org/licenses/MIT>, at your option. This file may not be
// copied, modified, or distributed except according to those terms.

use crate::core::math::ArgminConj;

use nalgebra::{
    base::{allocator::Allocator, dimension::Dim},
    DefaultAllocator, MatrixMN, SimdComplexField,
};

impl<N, R, C> ArgminConj for MatrixMN<N, R, C>
where
    N: SimdComplexField,
    R: Dim,
    C: Dim,
    DefaultAllocator: Allocator<N, R, C>,
{
    #[inline]
    fn conj(&self) -> MatrixMN<N, R, C> {
        self.conjugate()
    }
}

#[cfg(test)]
mod tests {
    use super::*;
    use nalgebra::Vector3;
    use num_complex::Complex;
    use paste::item;

    macro_rules! make_test {
        ($t:ty) => {
            item! {
                #[test]
                fn [<test_conj_complex_ndarray_ $t>]() {
                    let a = Vector3::new(
                        Complex::new(1 as $t, 2 as $t),
                        Complex::new(4 as $t, -3 as $t),
                        Complex::new(8 as $t, 0 as $t)
                    );
                    let b = Vector3::new(
                        Complex::new(1 as $t, -2 as $t),
                        Complex::new(4 as $t, 3 as $t),
                        Complex::new(8 as $t, 0 as $t)
                    );
                    let res = <Vector3<Complex<$t>> as ArgminConj>::conj(&a);
                    for i in 0..3 {
                        let tmp = b[i] - res[i];
                        let norm = ((tmp.re * tmp.re + tmp.im * tmp.im) as f64).sqrt();
                        assert!(norm  < std::f64::EPSILON);
                    }
                }
            }

            item! {
                #[test]
                fn [<test_conj_ndarray_ $t>]() {
                    let a = Vector3::new(1 as $t, 4 as $t, 8 as $t);
                    let b = Vector3::new(1 as $t, 4 as $t, 8 as $t);
                    let res = <Vector3<$t> as ArgminConj>::conj(&a);
                    for i in 0..3 {
                        let diff = (b[i] as f64 - res[i] as f64).abs();
                        assert!(diff  < std::f64::EPSILON);
                    }
                }
            }
        };
    }

    make_test!(f32);
    make_test!(f64);
}
