use std::{cmp::Ordering, ops::Add};
use fixed::traits::LossyFrom;
use crate::Axis;
use crate::dist::{
DistanceMetricAvx2, DistanceMetricAvx512, DistanceMetricNeon, DistanceMetricScalar,
};
#[cfg(all(feature = "simd", target_arch = "x86_64", target_feature = "avx2"))]
mod avx2;
#[cfg(all(feature = "simd", target_feature = "avx512f"))]
mod avx512;
#[cfg(all(feature = "simd", target_arch = "aarch64", target_feature = "neon"))]
mod neon;
pub struct Manhattan<R>(core::marker::PhantomData<R>);
impl<A, R> DistanceMetricScalar<A> for Manhattan<R>
where
A: Copy,
R: Axis<Coord = R> + LossyFrom<A> + Add<Output = R>,
{
type Output = R;
const ORDERING: Ordering = Ordering::Less;
#[inline(always)]
fn widen_coord(a: A) -> R {
R::lossy_from(a)
}
#[inline(always)]
fn dist1(a: R, b: R) -> R {
if a >= b {
a - b
} else {
b - a
}
}
}
impl<A, R> DistanceMetricAvx512<A> for Manhattan<R>
where
A: Copy,
R: Axis<Coord = R> + LossyFrom<A> + Add<Output = R>,
{
#[cfg(all(feature = "simd", target_feature = "avx512f"))]
type Avx512F64Ops = avx512::ManhattanAvx512F64LeafOps;
#[cfg(all(feature = "simd", target_feature = "avx512f"))]
type Avx512F32Ops = avx512::ManhattanAvx512F32LeafOps;
}
impl<A, R> DistanceMetricAvx2<A> for Manhattan<R>
where
A: Copy,
R: Axis<Coord = R> + LossyFrom<A> + Add<Output = R>,
{
#[cfg(all(feature = "simd", target_arch = "x86_64", target_feature = "avx2"))]
type Avx2F64Ops = avx2::ManhattanAvx2F64LeafOps;
#[cfg(all(feature = "simd", target_arch = "x86_64", target_feature = "avx2"))]
type Avx2F32Ops = avx2::ManhattanAvx2F32LeafOps;
}
impl<A, R> DistanceMetricNeon<A> for Manhattan<R>
where
A: Copy,
R: Axis<Coord = R> + LossyFrom<A> + Add<Output = R>,
{
#[cfg(all(feature = "simd", target_arch = "aarch64", target_feature = "neon"))]
type NeonF64Ops = neon::ManhattanNeonF64LeafOps;
#[cfg(all(feature = "simd", target_arch = "aarch64", target_feature = "neon"))]
type NeonF32Ops = neon::ManhattanNeonF32LeafOps;
}