use crate::simd::{intrinsics, LaneCount, Mask, Simd, SimdPartialEq, SupportedLaneCount}; /// Parallel `PartialOrd`. pub trait SimdPartialOrd: SimdPartialEq { /// Test if each lane is less than the corresponding lane in `other`. #[must_use = "method returns a new mask and does not mutate the original value"] fn simd_lt(self, other: Self) -> Self::Mask; /// Test if each lane is less than or equal to the corresponding lane in `other`. #[must_use = "method returns a new mask and does not mutate the original value"] fn simd_le(self, other: Self) -> Self::Mask; /// Test if each lane is greater than the corresponding lane in `other`. #[must_use = "method returns a new mask and does not mutate the original value"] fn simd_gt(self, other: Self) -> Self::Mask; /// Test if each lane is greater than or equal to the corresponding lane in `other`. #[must_use = "method returns a new mask and does not mutate the original value"] fn simd_ge(self, other: Self) -> Self::Mask; } /// Parallel `Ord`. pub trait SimdOrd: SimdPartialOrd { /// Returns the lane-wise maximum with `other`. #[must_use = "method returns a new vector and does not mutate the original value"] fn simd_max(self, other: Self) -> Self; /// Returns the lane-wise minimum with `other`. #[must_use = "method returns a new vector and does not mutate the original value"] fn simd_min(self, other: Self) -> Self; /// Restrict each lane to a certain interval. /// /// For each lane, returns `max` if `self` is greater than `max`, and `min` if `self` is /// less than `min`. Otherwise returns `self`. /// /// # Panics /// /// Panics if `min > max` on any lane. #[must_use = "method returns a new vector and does not mutate the original value"] fn simd_clamp(self, min: Self, max: Self) -> Self; } macro_rules! impl_integer { { $($integer:ty),* } => { $( impl SimdPartialOrd for Simd<$integer, LANES> where LaneCount: SupportedLaneCount, { #[inline] fn simd_lt(self, other: Self) -> Self::Mask { // Safety: `self` is a vector, and the result of the comparison // is always a valid mask. unsafe { Mask::from_int_unchecked(intrinsics::simd_lt(self, other)) } } #[inline] fn simd_le(self, other: Self) -> Self::Mask { // Safety: `self` is a vector, and the result of the comparison // is always a valid mask. unsafe { Mask::from_int_unchecked(intrinsics::simd_le(self, other)) } } #[inline] fn simd_gt(self, other: Self) -> Self::Mask { // Safety: `self` is a vector, and the result of the comparison // is always a valid mask. unsafe { Mask::from_int_unchecked(intrinsics::simd_gt(self, other)) } } #[inline] fn simd_ge(self, other: Self) -> Self::Mask { // Safety: `self` is a vector, and the result of the comparison // is always a valid mask. unsafe { Mask::from_int_unchecked(intrinsics::simd_ge(self, other)) } } } impl SimdOrd for Simd<$integer, LANES> where LaneCount: SupportedLaneCount, { #[inline] fn simd_max(self, other: Self) -> Self { self.simd_lt(other).select(other, self) } #[inline] fn simd_min(self, other: Self) -> Self { self.simd_gt(other).select(other, self) } #[inline] fn simd_clamp(self, min: Self, max: Self) -> Self { assert!( min.simd_le(max).all(), "each lane in `min` must be less than or equal to the corresponding lane in `max`", ); self.simd_max(min).simd_min(max) } } )* } } impl_integer! { u8, u16, u32, u64, usize, i8, i16, i32, i64, isize } macro_rules! impl_float { { $($float:ty),* } => { $( impl SimdPartialOrd for Simd<$float, LANES> where LaneCount: SupportedLaneCount, { #[inline] fn simd_lt(self, other: Self) -> Self::Mask { // Safety: `self` is a vector, and the result of the comparison // is always a valid mask. unsafe { Mask::from_int_unchecked(intrinsics::simd_lt(self, other)) } } #[inline] fn simd_le(self, other: Self) -> Self::Mask { // Safety: `self` is a vector, and the result of the comparison // is always a valid mask. unsafe { Mask::from_int_unchecked(intrinsics::simd_le(self, other)) } } #[inline] fn simd_gt(self, other: Self) -> Self::Mask { // Safety: `self` is a vector, and the result of the comparison // is always a valid mask. unsafe { Mask::from_int_unchecked(intrinsics::simd_gt(self, other)) } } #[inline] fn simd_ge(self, other: Self) -> Self::Mask { // Safety: `self` is a vector, and the result of the comparison // is always a valid mask. unsafe { Mask::from_int_unchecked(intrinsics::simd_ge(self, other)) } } } )* } } impl_float! { f32, f64 } macro_rules! impl_mask { { $($integer:ty),* } => { $( impl SimdPartialOrd for Mask<$integer, LANES> where LaneCount: SupportedLaneCount, { #[inline] fn simd_lt(self, other: Self) -> Self::Mask { // Safety: `self` is a vector, and the result of the comparison // is always a valid mask. unsafe { Self::from_int_unchecked(intrinsics::simd_lt(self.to_int(), other.to_int())) } } #[inline] fn simd_le(self, other: Self) -> Self::Mask { // Safety: `self` is a vector, and the result of the comparison // is always a valid mask. unsafe { Self::from_int_unchecked(intrinsics::simd_le(self.to_int(), other.to_int())) } } #[inline] fn simd_gt(self, other: Self) -> Self::Mask { // Safety: `self` is a vector, and the result of the comparison // is always a valid mask. unsafe { Self::from_int_unchecked(intrinsics::simd_gt(self.to_int(), other.to_int())) } } #[inline] fn simd_ge(self, other: Self) -> Self::Mask { // Safety: `self` is a vector, and the result of the comparison // is always a valid mask. unsafe { Self::from_int_unchecked(intrinsics::simd_ge(self.to_int(), other.to_int())) } } } impl SimdOrd for Mask<$integer, LANES> where LaneCount: SupportedLaneCount, { #[inline] fn simd_max(self, other: Self) -> Self { self.simd_gt(other).select_mask(other, self) } #[inline] fn simd_min(self, other: Self) -> Self { self.simd_lt(other).select_mask(other, self) } #[inline] fn simd_clamp(self, min: Self, max: Self) -> Self { assert!( min.simd_le(max).all(), "each lane in `min` must be less than or equal to the corresponding lane in `max`", ); self.simd_max(min).simd_min(max) } } )* } } impl_mask! { i8, i16, i32, i64, isize }