/*
 * Copyright 2019 Google Inc.
 *
 * Use of this source code is governed by a BSD-style license that can be
 * found in the LICENSE file.
 */

#ifndef SKVX_DEFINED
#define SKVX_DEFINED

// skvx::Vec<N,T> are SIMD vectors of N T's, a v1.5 successor to SkNx<N,T>.
//
// This time we're leaning a bit less on platform-specific intrinsics and a bit
// more on Clang/GCC vector extensions, but still keeping the option open to
// drop in platform-specific intrinsics, actually more easily than before.
//
// We've also fixed a few of the caveats that used to make SkNx awkward to work
// with across translation units.  skvx::Vec<N,T> always has N*sizeof(T) size
// and alignment[1][2] and is safe to use across translation units freely.
//
// [1] Ideally we'd only align to T, but that tanks ARMv7 NEON codegen.
// [2] Some compilers barf if we try to use N*sizeof(T), so instead we leave them at T.

#include "SkTypes.h"         // SK_CPU_SSE_LEVEL*, etc.
#include <algorithm>         // std::min, std::max
#include <cmath>             // std::ceil, std::floor, std::trunc, std::round, std::sqrt, etc.
#include <cstdint>           // intXX_t
#include <cstring>           // memcpy()
#include <initializer_list>  // std::initializer_list

#if SK_CPU_SSE_LEVEL >= SK_CPU_SSE_LEVEL_SSE1
    #include <immintrin.h>
#elif defined(SK_ARM_HAS_NEON)
    #include <arm_neon.h>
#endif

#if !defined(__clang__) && defined(__GNUC__) && defined(__mips64)
    // GCC 7 hits an internal compiler error when targeting MIPS64.
    #define SKVX_ALIGNMENT
#elif !defined(__clang__) && defined(_MSC_VER) && defined(_M_IX86)
    // Our SkVx unit tests fail when built by MSVC for 32-bit x86.
    #define SKVX_ALIGNMENT
#else
    #define SKVX_ALIGNMENT alignas(N * sizeof(T))
#endif


namespace skvx {

// All Vec have the same simple memory layout, the same as `T vec[N]`.
// This gives Vec a consistent ABI, letting them pass between files compiled with
// different instruction sets (e.g. SSE2 and AVX2) without fear of ODR violation.
template <int N, typename T>
struct SKVX_ALIGNMENT Vec {
    static_assert((N & (N-1)) == 0,        "N must be a power of 2.");
    static_assert(sizeof(T) >= alignof(T), "What kind of crazy T is this?");

    Vec<N/2,T> lo, hi;

    // Methods belong here in the class declaration of Vec only if:
    //   - they must be here, like constructors or operator[];
    //   - they'll definitely never want a specialized implementation.
    // Other operations on Vec should be defined outside the type.

    Vec() = default;

    template <typename U,
              typename=typename std::enable_if<std::is_convertible<U,T>::value>::type>
    Vec(U x) : lo(x), hi(x) {}

    Vec(std::initializer_list<T> xs) {
        T vals[N] = {0};
        memcpy(vals, xs.begin(), std::min(xs.size(), (size_t)N)*sizeof(T));

        lo = Vec<N/2,T>::Load(vals +   0);
        hi = Vec<N/2,T>::Load(vals + N/2);
    }

    T  operator[](int i) const { return i < N/2 ? lo[i] : hi[i-N/2]; }
    T& operator[](int i)       { return i < N/2 ? lo[i] : hi[i-N/2]; }

    static Vec Load(const void* ptr) {
        Vec v;
        memcpy(&v, ptr, sizeof(Vec));
        return v;
    }
    void store(void* ptr) const {
        memcpy(ptr, this, sizeof(Vec));
    }
};

template <typename T>
struct Vec<1,T> {
    T val;

    Vec() = default;

    template <typename U,
              typename=typename std::enable_if<std::is_convertible<U,T>::value>::type>
    Vec(U x) : val(x) {}

    Vec(std::initializer_list<T> xs) : val(xs.size() ? *xs.begin() : 0) {}

    T  operator[](int) const { return val; }
    T& operator[](int)       { return val; }

    static Vec Load(const void* ptr) {
        Vec v;
        memcpy(&v, ptr, sizeof(Vec));
        return v;
    }
    void store(void* ptr) const {
        memcpy(ptr, this, sizeof(Vec));
    }
};

#if defined(__GNUC__) && !defined(__clang__) && SK_CPU_SSE_LEVEL >= SK_CPU_SSE_LEVEL_SSE1
    // GCC warns about ABI changes when returning >= 32 byte vectors when -mavx is not enabled.
    // This only happens for types like VExt whose ABI we don't care about, not for Vec itself.
    #pragma GCC diagnostic ignored "-Wpsabi"
#endif

// Helps tamp down on the repetitive boilerplate.
#define SIT   template <       typename T> static inline
#define SINT  template <int N, typename T> static inline
#define SINTU template <int N, typename T, typename U, \
                        typename=typename std::enable_if<std::is_convertible<U,T>::value>::type> \
              static inline

template <typename D, typename S>
static inline D bit_pun(const S& s) {
    static_assert(sizeof(D) == sizeof(S), "");
    D d;
    memcpy(&d, &s, sizeof(D));
    return d;
}

// Translate from a value type T to its corresponding Mask, the result of a comparison.
template <typename T> struct Mask { using type = T; };
template <> struct Mask<float > { using type = int32_t; };
template <> struct Mask<double> { using type = int64_t; };
template <typename T> using M = typename Mask<T>::type;

// Join two Vec<N,T> into one Vec<2N,T>.
SINT Vec<2*N,T> join(const Vec<N,T>& lo, const Vec<N,T>& hi) {
    Vec<2*N,T> v;
    v.lo = lo;
    v.hi = hi;
    return v;
}

// We have two default strategies for implementing most operations:
//    1) lean on Clang/GCC vector extensions when available;
//    2) recurse to scalar portable implementations when not.
// At the end we can drop in platform-specific implementations that override either default.

#if !defined(SKNX_NO_SIMD) && (defined(__clang__) || defined(__GNUC__))

    // VExt<N,T> types have the same size as Vec<N,T> and support most operations directly.
    // N.B. VExt<N,T> alignment is N*alignof(T), stricter than Vec<N,T>'s alignof(T).
    #if defined(__clang__)
        template <int N, typename T>
        using VExt = T __attribute__((ext_vector_type(N)));

    #elif defined(__GNUC__)
        template <int N, typename T>
        struct VExtHelper {
            typedef T __attribute__((vector_size(N*sizeof(T)))) type;
        };

        template <int N, typename T>
        using VExt = typename VExtHelper<N,T>::type;

        // For some reason some (new!) versions of GCC cannot seem to deduce N in the generic
        // to_vec<N,T>() below for N=4 and T=float.  This workaround seems to help...
        static inline Vec<4,float> to_vec(VExt<4,float> v) { return bit_pun<Vec<4,float>>(v); }
    #endif

    SINT VExt<N,T> to_vext(const Vec<N,T>& v) { return bit_pun<VExt<N,T>>(v); }
    SINT Vec <N,T> to_vec(const VExt<N,T>& v) { return bit_pun<Vec <N,T>>(v); }

    SINT Vec<N,T> operator+(const Vec<N,T>& x, const Vec<N,T>& y) { return to_vec<N,T>(to_vext(x) + to_vext(y)); }
    SINT Vec<N,T> operator-(const Vec<N,T>& x, const Vec<N,T>& y) { return to_vec<N,T>(to_vext(x) - to_vext(y)); }
    SINT Vec<N,T> operator*(const Vec<N,T>& x, const Vec<N,T>& y) { return to_vec<N,T>(to_vext(x) * to_vext(y)); }
    SINT Vec<N,T> operator/(const Vec<N,T>& x, const Vec<N,T>& y) { return to_vec<N,T>(to_vext(x) / to_vext(y)); }

    SINT Vec<N,T> operator^(const Vec<N,T>& x, const Vec<N,T>& y) { return to_vec<N,T>(to_vext(x) ^ to_vext(y)); }
    SINT Vec<N,T> operator&(const Vec<N,T>& x, const Vec<N,T>& y) { return to_vec<N,T>(to_vext(x) & to_vext(y)); }
    SINT Vec<N,T> operator|(const Vec<N,T>& x, const Vec<N,T>& y) { return to_vec<N,T>(to_vext(x) | to_vext(y)); }

    SINT Vec<N,T> operator!(const Vec<N,T>& x) { return to_vec<N,T>(!to_vext(x)); }
    SINT Vec<N,T> operator-(const Vec<N,T>& x) { return to_vec<N,T>(-to_vext(x)); }
    SINT Vec<N,T> operator~(const Vec<N,T>& x) { return to_vec<N,T>(~to_vext(x)); }

    SINT Vec<N,T> operator<<(const Vec<N,T>& x, int bits) { return to_vec<N,T>(to_vext(x) << bits); }
    SINT Vec<N,T> operator>>(const Vec<N,T>& x, int bits) { return to_vec<N,T>(to_vext(x) >> bits); }

    SINT Vec<N,M<T>> operator==(const Vec<N,T>& x, const Vec<N,T>& y) { return bit_pun<Vec<N,M<T>>>(to_vext(x) == to_vext(y)); }
    SINT Vec<N,M<T>> operator!=(const Vec<N,T>& x, const Vec<N,T>& y) { return bit_pun<Vec<N,M<T>>>(to_vext(x) != to_vext(y)); }
    SINT Vec<N,M<T>> operator<=(const Vec<N,T>& x, const Vec<N,T>& y) { return bit_pun<Vec<N,M<T>>>(to_vext(x) <= to_vext(y)); }
    SINT Vec<N,M<T>> operator>=(const Vec<N,T>& x, const Vec<N,T>& y) { return bit_pun<Vec<N,M<T>>>(to_vext(x) >= to_vext(y)); }
    SINT Vec<N,M<T>> operator< (const Vec<N,T>& x, const Vec<N,T>& y) { return bit_pun<Vec<N,M<T>>>(to_vext(x) <  to_vext(y)); }
    SINT Vec<N,M<T>> operator> (const Vec<N,T>& x, const Vec<N,T>& y) { return bit_pun<Vec<N,M<T>>>(to_vext(x) >  to_vext(y)); }

#else

    // Either SKNX_NO_SIMD is defined, or Clang/GCC vector extensions are not available.
    // We'll implement things portably, in a way that should be easily autovectorizable.

    // N == 1 scalar implementations.
    SIT Vec<1,T> operator+(const Vec<1,T>& x, const Vec<1,T>& y) { return x.val + y.val; }
    SIT Vec<1,T> operator-(const Vec<1,T>& x, const Vec<1,T>& y) { return x.val - y.val; }
    SIT Vec<1,T> operator*(const Vec<1,T>& x, const Vec<1,T>& y) { return x.val * y.val; }
    SIT Vec<1,T> operator/(const Vec<1,T>& x, const Vec<1,T>& y) { return x.val / y.val; }

    SIT Vec<1,T> operator^(const Vec<1,T>& x, const Vec<1,T>& y) { return x.val ^ y.val; }
    SIT Vec<1,T> operator&(const Vec<1,T>& x, const Vec<1,T>& y) { return x.val & y.val; }
    SIT Vec<1,T> operator|(const Vec<1,T>& x, const Vec<1,T>& y) { return x.val | y.val; }

    SIT Vec<1,T> operator!(const Vec<1,T>& x) { return !x.val; }
    SIT Vec<1,T> operator-(const Vec<1,T>& x) { return -x.val; }
    SIT Vec<1,T> operator~(const Vec<1,T>& x) { return ~x.val; }

    SIT Vec<1,T> operator<<(const Vec<1,T>& x, int bits) { return x.val << bits; }
    SIT Vec<1,T> operator>>(const Vec<1,T>& x, int bits) { return x.val >> bits; }

    SIT Vec<1,M<T>> operator==(const Vec<1,T>& x, const Vec<1,T>& y) { return x.val == y.val ? ~0 : 0; }
    SIT Vec<1,M<T>> operator!=(const Vec<1,T>& x, const Vec<1,T>& y) { return x.val != y.val ? ~0 : 0; }
    SIT Vec<1,M<T>> operator<=(const Vec<1,T>& x, const Vec<1,T>& y) { return x.val <= y.val ? ~0 : 0; }
    SIT Vec<1,M<T>> operator>=(const Vec<1,T>& x, const Vec<1,T>& y) { return x.val >= y.val ? ~0 : 0; }
    SIT Vec<1,M<T>> operator< (const Vec<1,T>& x, const Vec<1,T>& y) { return x.val <  y.val ? ~0 : 0; }
    SIT Vec<1,M<T>> operator> (const Vec<1,T>& x, const Vec<1,T>& y) { return x.val >  y.val ? ~0 : 0; }

    // All default N != 1 implementations just recurse on lo and hi halves.
    SINT Vec<N,T> operator+(const Vec<N,T>& x, const Vec<N,T>& y) { return join(x.lo + y.lo, x.hi + y.hi); }
    SINT Vec<N,T> operator-(const Vec<N,T>& x, const Vec<N,T>& y) { return join(x.lo - y.lo, x.hi - y.hi); }
    SINT Vec<N,T> operator*(const Vec<N,T>& x, const Vec<N,T>& y) { return join(x.lo * y.lo, x.hi * y.hi); }
    SINT Vec<N,T> operator/(const Vec<N,T>& x, const Vec<N,T>& y) { return join(x.lo / y.lo, x.hi / y.hi); }

    SINT Vec<N,T> operator^(const Vec<N,T>& x, const Vec<N,T>& y) { return join(x.lo ^ y.lo, x.hi ^ y.hi); }
    SINT Vec<N,T> operator&(const Vec<N,T>& x, const Vec<N,T>& y) { return join(x.lo & y.lo, x.hi & y.hi); }
    SINT Vec<N,T> operator|(const Vec<N,T>& x, const Vec<N,T>& y) { return join(x.lo | y.lo, x.hi | y.hi); }

    SINT Vec<N,T> operator!(const Vec<N,T>& x) { return join(!x.lo, !x.hi); }
    SINT Vec<N,T> operator-(const Vec<N,T>& x) { return join(-x.lo, -x.hi); }
    SINT Vec<N,T> operator~(const Vec<N,T>& x) { return join(~x.lo, ~x.hi); }

    SINT Vec<N,T> operator<<(const Vec<N,T>& x, int bits) { return join(x.lo << bits, x.hi << bits); }
    SINT Vec<N,T> operator>>(const Vec<N,T>& x, int bits) { return join(x.lo >> bits, x.hi >> bits); }

    SINT Vec<N,M<T>> operator==(const Vec<N,T>& x, const Vec<N,T>& y) { return join(x.lo == y.lo, x.hi == y.hi); }
    SINT Vec<N,M<T>> operator!=(const Vec<N,T>& x, const Vec<N,T>& y) { return join(x.lo != y.lo, x.hi != y.hi); }
    SINT Vec<N,M<T>> operator<=(const Vec<N,T>& x, const Vec<N,T>& y) { return join(x.lo <= y.lo, x.hi <= y.hi); }
    SINT Vec<N,M<T>> operator>=(const Vec<N,T>& x, const Vec<N,T>& y) { return join(x.lo >= y.lo, x.hi >= y.hi); }
    SINT Vec<N,M<T>> operator< (const Vec<N,T>& x, const Vec<N,T>& y) { return join(x.lo <  y.lo, x.hi <  y.hi); }
    SINT Vec<N,M<T>> operator> (const Vec<N,T>& x, const Vec<N,T>& y) { return join(x.lo >  y.lo, x.hi >  y.hi); }
#endif

// Some operations we want are not expressible with Clang/GCC vector
// extensions, so we implement them using the recursive approach.

// N == 1 scalar implementations.
SIT Vec<1,T> if_then_else(const Vec<1,M<T>>& cond, const Vec<1,T>& t, const Vec<1,T>& e) {
    auto t_bits = bit_pun<M<T>>(t),
         e_bits = bit_pun<M<T>>(e);
    return bit_pun<T>( (cond.val & t_bits) | (~cond.val & e_bits) );
}

SIT bool any(const Vec<1,T>& x) { return x.val != 0; }
SIT bool all(const Vec<1,T>& x) { return x.val != 0; }

SIT T min(const Vec<1,T>& x) { return x.val; }
SIT T max(const Vec<1,T>& x) { return x.val; }

SIT Vec<1,T> min(const Vec<1,T>& x, const Vec<1,T>& y) { return std::min(x.val, y.val); }
SIT Vec<1,T> max(const Vec<1,T>& x, const Vec<1,T>& y) { return std::max(x.val, y.val); }

SIT Vec<1,T>  ceil(const Vec<1,T>& x) { return std:: ceil(x.val); }
SIT Vec<1,T> floor(const Vec<1,T>& x) { return std::floor(x.val); }
SIT Vec<1,T> trunc(const Vec<1,T>& x) { return std::trunc(x.val); }
SIT Vec<1,T> round(const Vec<1,T>& x) { return std::round(x.val); }
SIT Vec<1,T>  sqrt(const Vec<1,T>& x) { return std:: sqrt(x.val); }
SIT Vec<1,T>   abs(const Vec<1,T>& x) { return std::  abs(x.val); }

SIT Vec<1,T>   rcp(const Vec<1,T>& x) { return 1 / x.val; }
SIT Vec<1,T> rsqrt(const Vec<1,T>& x) { return rcp(sqrt(x)); }
SIT Vec<1,T>   mad(const Vec<1,T>& f,
                   const Vec<1,T>& m,
                   const Vec<1,T>& a) { return f*m+a; }

// All default N != 1 implementations just recurse on lo and hi halves.
SINT Vec<N,T> if_then_else(const Vec<N,M<T>>& cond, const Vec<N,T>& t, const Vec<N,T>& e) {
    return join(if_then_else(cond.lo, t.lo, e.lo),
                if_then_else(cond.hi, t.hi, e.hi));
}

SINT bool any(const Vec<N,T>& x) { return any(x.lo) || any(x.hi); }
SINT bool all(const Vec<N,T>& x) { return all(x.lo) && all(x.hi); }

SINT T min(const Vec<N,T>& x) { return std::min(min(x.lo), min(x.hi)); }
SINT T max(const Vec<N,T>& x) { return std::max(max(x.lo), max(x.hi)); }

SINT Vec<N,T> min(const Vec<N,T>& x, const Vec<N,T>& y) { return join(min(x.lo, y.lo), min(x.hi, y.hi)); }
SINT Vec<N,T> max(const Vec<N,T>& x, const Vec<N,T>& y) { return join(max(x.lo, y.lo), max(x.hi, y.hi)); }

SINT Vec<N,T>  ceil(const Vec<N,T>& x) { return join( ceil(x.lo),  ceil(x.hi)); }
SINT Vec<N,T> floor(const Vec<N,T>& x) { return join(floor(x.lo), floor(x.hi)); }
SINT Vec<N,T> trunc(const Vec<N,T>& x) { return join(trunc(x.lo), trunc(x.hi)); }
SINT Vec<N,T> round(const Vec<N,T>& x) { return join(round(x.lo), round(x.hi)); }
SINT Vec<N,T>  sqrt(const Vec<N,T>& x) { return join( sqrt(x.lo),  sqrt(x.hi)); }
SINT Vec<N,T>   abs(const Vec<N,T>& x) { return join(  abs(x.lo),   abs(x.hi)); }

SINT Vec<N,T>   rcp(const Vec<N,T>& x) { return join(  rcp(x.lo),   rcp(x.hi)); }
SINT Vec<N,T> rsqrt(const Vec<N,T>& x) { return join(rsqrt(x.lo), rsqrt(x.hi)); }
SINT Vec<N,T>   mad(const Vec<N,T>& f,
                    const Vec<N,T>& m,
                    const Vec<N,T>& a) { return join(mad(f.lo, m.lo, a.lo), mad(f.hi, m.hi, a.hi)); }


// Scalar/vector operations just splat the scalar to a vector...
SINTU Vec<N,T>    operator+ (U x, const Vec<N,T>& y) { return Vec<N,T>(x) +  y; }
SINTU Vec<N,T>    operator- (U x, const Vec<N,T>& y) { return Vec<N,T>(x) -  y; }
SINTU Vec<N,T>    operator* (U x, const Vec<N,T>& y) { return Vec<N,T>(x) *  y; }
SINTU Vec<N,T>    operator/ (U x, const Vec<N,T>& y) { return Vec<N,T>(x) /  y; }
SINTU Vec<N,T>    operator^ (U x, const Vec<N,T>& y) { return Vec<N,T>(x) ^  y; }
SINTU Vec<N,T>    operator& (U x, const Vec<N,T>& y) { return Vec<N,T>(x) &  y; }
SINTU Vec<N,T>    operator| (U x, const Vec<N,T>& y) { return Vec<N,T>(x) |  y; }
SINTU Vec<N,M<T>> operator==(U x, const Vec<N,T>& y) { return Vec<N,T>(x) == y; }
SINTU Vec<N,M<T>> operator!=(U x, const Vec<N,T>& y) { return Vec<N,T>(x) != y; }
SINTU Vec<N,M<T>> operator<=(U x, const Vec<N,T>& y) { return Vec<N,T>(x) <= y; }
SINTU Vec<N,M<T>> operator>=(U x, const Vec<N,T>& y) { return Vec<N,T>(x) >= y; }
SINTU Vec<N,M<T>> operator< (U x, const Vec<N,T>& y) { return Vec<N,T>(x) <  y; }
SINTU Vec<N,M<T>> operator> (U x, const Vec<N,T>& y) { return Vec<N,T>(x) >  y; }
SINTU Vec<N,T>           min(U x, const Vec<N,T>& y) { return min(Vec<N,T>(x), y); }
SINTU Vec<N,T>           max(U x, const Vec<N,T>& y) { return max(Vec<N,T>(x), y); }

// ... and same deal for vector/scalar operations.
SINTU Vec<N,T>    operator+ (const Vec<N,T>& x, U y) { return x +  Vec<N,T>(y); }
SINTU Vec<N,T>    operator- (const Vec<N,T>& x, U y) { return x -  Vec<N,T>(y); }
SINTU Vec<N,T>    operator* (const Vec<N,T>& x, U y) { return x *  Vec<N,T>(y); }
SINTU Vec<N,T>    operator/ (const Vec<N,T>& x, U y) { return x /  Vec<N,T>(y); }
SINTU Vec<N,T>    operator^ (const Vec<N,T>& x, U y) { return x ^  Vec<N,T>(y); }
SINTU Vec<N,T>    operator& (const Vec<N,T>& x, U y) { return x &  Vec<N,T>(y); }
SINTU Vec<N,T>    operator| (const Vec<N,T>& x, U y) { return x |  Vec<N,T>(y); }
SINTU Vec<N,M<T>> operator==(const Vec<N,T>& x, U y) { return x == Vec<N,T>(y); }
SINTU Vec<N,M<T>> operator!=(const Vec<N,T>& x, U y) { return x != Vec<N,T>(y); }
SINTU Vec<N,M<T>> operator<=(const Vec<N,T>& x, U y) { return x <= Vec<N,T>(y); }
SINTU Vec<N,M<T>> operator>=(const Vec<N,T>& x, U y) { return x >= Vec<N,T>(y); }
SINTU Vec<N,M<T>> operator< (const Vec<N,T>& x, U y) { return x <  Vec<N,T>(y); }
SINTU Vec<N,M<T>> operator> (const Vec<N,T>& x, U y) { return x >  Vec<N,T>(y); }
SINTU Vec<N,T>           min(const Vec<N,T>& x, U y) { return min(x, Vec<N,T>(y)); }
SINTU Vec<N,T>           max(const Vec<N,T>& x, U y) { return max(x, Vec<N,T>(y)); }

// All vector/scalar combinations for mad() with at least one vector.
SINTU Vec<N,T> mad(U f, const Vec<N,T>& m, const Vec<N,T>& a) { return Vec<N,T>(f)*m + a; }
SINTU Vec<N,T> mad(const Vec<N,T>& f, U m, const Vec<N,T>& a) { return f*Vec<N,T>(m) + a; }
SINTU Vec<N,T> mad(const Vec<N,T>& f, const Vec<N,T>& m, U a) { return f*m + Vec<N,T>(a); }
SINTU Vec<N,T> mad(const Vec<N,T>& f, U m, U a) { return f*Vec<N,T>(m) + Vec<N,T>(a); }
SINTU Vec<N,T> mad(U f, const Vec<N,T>& m, U a) { return Vec<N,T>(f)*m + Vec<N,T>(a); }
SINTU Vec<N,T> mad(U f, U m, const Vec<N,T>& a) { return Vec<N,T>(f)*Vec<N,T>(m) + a; }

// The various op= operators, for vectors...
SINT Vec<N,T>& operator+=(Vec<N,T>& x, const Vec<N,T>& y) { return (x = x + y); }
SINT Vec<N,T>& operator-=(Vec<N,T>& x, const Vec<N,T>& y) { return (x = x - y); }
SINT Vec<N,T>& operator*=(Vec<N,T>& x, const Vec<N,T>& y) { return (x = x * y); }
SINT Vec<N,T>& operator/=(Vec<N,T>& x, const Vec<N,T>& y) { return (x = x / y); }
SINT Vec<N,T>& operator^=(Vec<N,T>& x, const Vec<N,T>& y) { return (x = x ^ y); }
SINT Vec<N,T>& operator&=(Vec<N,T>& x, const Vec<N,T>& y) { return (x = x & y); }
SINT Vec<N,T>& operator|=(Vec<N,T>& x, const Vec<N,T>& y) { return (x = x | y); }

// ... for scalars...
SINTU Vec<N,T>& operator+=(Vec<N,T>& x, U y) { return (x = x + Vec<N,T>(y)); }
SINTU Vec<N,T>& operator-=(Vec<N,T>& x, U y) { return (x = x - Vec<N,T>(y)); }
SINTU Vec<N,T>& operator*=(Vec<N,T>& x, U y) { return (x = x * Vec<N,T>(y)); }
SINTU Vec<N,T>& operator/=(Vec<N,T>& x, U y) { return (x = x / Vec<N,T>(y)); }
SINTU Vec<N,T>& operator^=(Vec<N,T>& x, U y) { return (x = x ^ Vec<N,T>(y)); }
SINTU Vec<N,T>& operator&=(Vec<N,T>& x, U y) { return (x = x & Vec<N,T>(y)); }
SINTU Vec<N,T>& operator|=(Vec<N,T>& x, U y) { return (x = x | Vec<N,T>(y)); }

// ... and for shifts.
SINT Vec<N,T>& operator<<=(Vec<N,T>& x, int bits) { return (x = x << bits); }
SINT Vec<N,T>& operator>>=(Vec<N,T>& x, int bits) { return (x = x >> bits); }

// cast() Vec<N,S> to Vec<N,D>, as if applying a C-cast to each lane.
template <typename D, typename S>
static inline Vec<1,D> cast(const Vec<1,S>& src) { return (D)src.val; }

template <typename D, int N, typename S>
static inline Vec<N,D> cast(const Vec<N,S>& src) {
#if !defined(SKNX_NO_SIMD) && defined(__clang__)
    return to_vec(__builtin_convertvector(to_vext(src), VExt<N,D>));
#else
    return join(cast<D>(src.lo), cast<D>(src.hi));
#endif
}

// Shuffle values from a vector pretty arbitrarily:
//    skvx::Vec<4,float> rgba = {R,G,B,A};
//    shuffle<2,1,0,3>        (rgba) ~> {B,G,R,A}
//    shuffle<2,1>            (rgba) ~> {B,G}
//    shuffle<2,1,2,1,2,1,2,1>(rgba) ~> {B,G,B,G,B,G,B,G}
//    shuffle<3,3,3,3>        (rgba) ~> {A,A,A,A}
// The only real restriction is that the output also be a legal N=power-of-two sknx::Vec.
template <int... Ix, int N, typename T>
static inline Vec<sizeof...(Ix),T> shuffle(const Vec<N,T>& x) {
#if !defined(SKNX_NO_SIMD) && defined(__clang__)
    return to_vec<sizeof...(Ix),T>(__builtin_shufflevector(to_vext(x), to_vext(x), Ix...));
#else
    return { x[Ix]... };
#endif
}

// div255(x) = (x + 127) / 255 is a bit-exact rounding divide-by-255, packing down to 8-bit.
template <int N>
static inline Vec<N,uint8_t> div255(const Vec<N,uint16_t>& x) {
    return cast<uint8_t>( (x+127)/255 );
}

// approx_scale(x,y) approximates div255(cast<uint16_t>(x)*cast<uint16_t>(y)) within a bit,
// and is always perfect when x or y is 0 or 255.
template <int N>
static inline Vec<N,uint8_t> approx_scale(const Vec<N,uint8_t>& x, const Vec<N,uint8_t>& y) {
    // All of (x*y+x)/256, (x*y+y)/256, and (x*y+255)/256 meet the criteria above.
    // We happen to have historically picked (x*y+x)/256.
    auto X = cast<uint16_t>(x),
         Y = cast<uint16_t>(y);
    return cast<uint8_t>( (X*Y+X)/256 );
}

#if !defined(SKNX_NO_SIMD) && defined(SK_ARM_HAS_NEON)
    // With NEON we can do eight u8*u8 -> u16 in one instruction, vmull_u8 (read, mul-long).
    static inline Vec<8,uint16_t> mull(const Vec<8,uint8_t>& x,
                                       const Vec<8,uint8_t>& y) {
        return to_vec<8,uint16_t>(vmull_u8(to_vext(x),
                                           to_vext(y)));
    }

    template <int N>
    static inline typename std::enable_if<(N < 8),
    Vec<N,uint16_t>>::type mull(const Vec<N,uint8_t>& x,
                                const Vec<N,uint8_t>& y) {
        // N < 8 --> double up data until N == 8, returning the part we need.
        return mull(join(x,x),
                    join(y,y)).lo;
    }

    template <int N>
    static inline typename std::enable_if<(N > 8),
    Vec<N,uint16_t>>::type mull(const Vec<N,uint8_t>& x,
                                const Vec<N,uint8_t>& y) {
        // N > 8 --> usual join(lo,hi) strategy to recurse down to N == 8.
        return join(mull(x.lo, y.lo),
                    mull(x.hi, y.hi));
    }
#else
    // Nothing special when we don't have NEON... just cast up to 16-bit and multiply.
    template <int N>
    static inline Vec<N,uint16_t> mull(const Vec<N,uint8_t>& x,
                                       const Vec<N,uint8_t>& y) {
        return cast<uint16_t>(x)
             * cast<uint16_t>(y);
    }
#endif

#if !defined(SKNX_NO_SIMD)
    // Platform-specific specializations and overloads can now drop in here.

    #if SK_CPU_SSE_LEVEL >= SK_CPU_SSE_LEVEL_SSE1
        static inline Vec<4,float> sqrt(const Vec<4,float>& x) {
            return bit_pun<Vec<4,float>>(_mm_sqrt_ps(bit_pun<__m128>(x)));
        }
        static inline Vec<4,float> rsqrt(const Vec<4,float>& x) {
            return bit_pun<Vec<4,float>>(_mm_rsqrt_ps(bit_pun<__m128>(x)));
        }
        static inline Vec<4,float> rcp(const Vec<4,float>& x) {
            return bit_pun<Vec<4,float>>(_mm_rcp_ps(bit_pun<__m128>(x)));
        }

        static inline Vec<2,float>  sqrt(const Vec<2,float>& x) {
            return shuffle<0,1>( sqrt(shuffle<0,1,0,1>(x)));
        }
        static inline Vec<2,float> rsqrt(const Vec<2,float>& x) {
            return shuffle<0,1>(rsqrt(shuffle<0,1,0,1>(x)));
        }
        static inline Vec<2,float>   rcp(const Vec<2,float>& x) {
            return shuffle<0,1>(  rcp(shuffle<0,1,0,1>(x)));
        }
    #endif

    #if SK_CPU_SSE_LEVEL >= SK_CPU_SSE_LEVEL_SSE41
        static inline Vec<4,float> if_then_else(const Vec<4,int  >& c,
                                                const Vec<4,float>& t,
                                                const Vec<4,float>& e) {
            return bit_pun<Vec<4,float>>(_mm_blendv_ps(bit_pun<__m128>(e),
                                                       bit_pun<__m128>(t),
                                                       bit_pun<__m128>(c)));
        }
    #elif SK_CPU_SSE_LEVEL >= SK_CPU_SSE_LEVEL_SSE1
        static inline Vec<4,float> if_then_else(const Vec<4,int  >& c,
                                                const Vec<4,float>& t,
                                                const Vec<4,float>& e) {
            return bit_pun<Vec<4,float>>(_mm_or_ps(_mm_and_ps   (bit_pun<__m128>(c),
                                                                 bit_pun<__m128>(t)),
                                                   _mm_andnot_ps(bit_pun<__m128>(c),
                                                                 bit_pun<__m128>(e))));
        }
    #elif defined(SK_ARM_HAS_NEON)
        static inline Vec<4,float> if_then_else(const Vec<4,int  >& c,
                                                const Vec<4,float>& t,
                                                const Vec<4,float>& e) {
            return bit_pun<Vec<4,float>>(vbslq_f32(bit_pun<uint32x4_t> (c),
                                                   bit_pun<float32x4_t>(t),
                                                   bit_pun<float32x4_t>(e)));
        }
    #endif

#endif  // !defined(SKNX_NO_SIMD)

}  // namespace skvx

#undef SINTU
#undef SINT
#undef SIT
#undef SKVX_ALIGNMENT

#endif//SKVX_DEFINED