simdmaskarray.h

/*  This file is part of the Vc library. {{{
Copyright © 2013-2015 Matthias Kretz <kretz@kde.org>
All rights reserved.

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      names of its contributors may be used to endorse or promote products
      derived from this software without specific prior written permission.

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ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
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#ifndef VC_COMMON_SIMDMASKARRAY_H_
#define VC_COMMON_SIMDMASKARRAY_H_

#include <type_traits>
#include <array>
#include "simdarrayhelper.h"
#include "utility.h"
#include "maskentry.h"

#include "macros.h"

namespace Vc_VERSIONED_NAMESPACE
{

template <typename T, std::size_t N, typename VectorType_>
class alignas(
    ((Common::nextPowerOfTwo(N) * (sizeof(VectorType_) / VectorType_::size()) - 1) & 127) +
    1) SimdMaskArray<T, N, VectorType_, N>
{
public:
    using VectorType = VectorType_;
    using vector_type = VectorType;
    using mask_type = typename vector_type::Mask;
    using storage_type = mask_type;

    friend storage_type &internal_data(SimdMaskArray &m) { return m.data; }
    friend const storage_type &internal_data(const SimdMaskArray &m) { return m.data; }

    static constexpr std::size_t size() { return N; }
    static constexpr std::size_t Size = size();
    static constexpr std::size_t MemoryAlignment = storage_type::MemoryAlignment;
    static_assert(Size == mask_type::Size, "size mismatch");

    using vectorentry_type = typename mask_type::VectorEntryType;
    using vectorentry_reference = vectorentry_type &;
    using value_type = typename mask_type::EntryType;
    using Mask = mask_type;
    using VectorEntryType = vectorentry_type;
    using EntryType = value_type;
    using EntryReference = typename mask_type::EntryReference;
    using Vector = SimdArray<T, N, VectorType, N>;

    Vc_FREE_STORE_OPERATORS_ALIGNED(alignof(mask_type))

    // zero init
    SimdMaskArray() = default;

    // broadcasts
    Vc_INTRINSIC explicit SimdMaskArray(VectorSpecialInitializerOne one) : data(one) {}
    Vc_INTRINSIC explicit SimdMaskArray(VectorSpecialInitializerZero zero) : data(zero) {}
    Vc_INTRINSIC explicit SimdMaskArray(bool b) : data(b) {}
    Vc_INTRINSIC static SimdMaskArray Zero() { return {storage_type::Zero()}; }
    Vc_INTRINSIC static SimdMaskArray One() { return {storage_type::One()}; }

    // conversion (casts)
    template <typename U, typename V>
    Vc_INTRINSIC_L SimdMaskArray(const SimdMaskArray<U, N, V> &x,
                                   enable_if<N == V::size()> = nullarg) Vc_INTRINSIC_R;
    template <typename U, typename V>
    Vc_INTRINSIC_L SimdMaskArray(const SimdMaskArray<U, N, V> &x,
                                   enable_if<(N > V::size() && N <= 2 * V::size())> = nullarg)
        Vc_INTRINSIC_R;
    template <typename U, typename V>
    Vc_INTRINSIC_L SimdMaskArray(const SimdMaskArray<U, N, V> &x,
                                   enable_if<(N > 2 * V::size() && N <= 4 * V::size())> = nullarg)
        Vc_INTRINSIC_R;

    // conversion from any Segment object (could be SimdMaskArray or Mask<T>)
    template <typename M, std::size_t Pieces, std::size_t Index>
    Vc_INTRINSIC_L SimdMaskArray(
        Common::Segment<M, Pieces, Index> &&x,
        enable_if<Traits::simd_vector_size<M>::value == Size * Pieces> = nullarg) Vc_INTRINSIC_R;

    // conversion from Mask<T>
    template <typename M>
    Vc_INTRINSIC_L SimdMaskArray(
        M k,
        enable_if<(Traits::is_simd_mask<M>::value && !Traits::isSimdMaskArray<M>::value &&
                   Traits::simd_vector_size<M>::value == Size)> = nullarg) Vc_INTRINSIC_R;

    // implicit conversion to Mask<U, AnyAbi> for if Mask<U, AnyAbi>::size() == N
    template <typename M,
              typename = enable_if<Traits::is_simd_mask<M>::value &&
                                   !Traits::isSimdMaskArray<M>::value && M::size() == N>>
    operator M() const
    {
        return simd_cast<M>(*this);
    }

    // load/store (from/to bool arrays)
    template <typename Flags = DefaultLoadTag>
    Vc_INTRINSIC explicit SimdMaskArray(const bool *mem, Flags f = Flags())
        : data(mem, f)
    {
    }

    Vc_INTRINSIC void load(const bool *mem) { data.load(mem); }
    template <typename Flags> Vc_INTRINSIC void load(const bool *mem, Flags f)
    {
        data.load(mem, f);
    }

    Vc_INTRINSIC void store(bool *mem) const { data.store(mem); }
    template <typename Flags> Vc_INTRINSIC void store(bool *mem, Flags f) const
    {
        data.store(mem, f);
    }

    // compares
    Vc_INTRINSIC Vc_PURE bool operator==(const SimdMaskArray &rhs) const
    {
        return data == rhs.data;
    }
    Vc_INTRINSIC Vc_PURE bool operator!=(const SimdMaskArray &rhs) const
    {
        return data != rhs.data;
    }

    // inversion
    Vc_INTRINSIC Vc_PURE SimdMaskArray operator!() const
    {
        return {!data};
    }

    // binary operators
    Vc_INTRINSIC SimdMaskArray &operator&=(const SimdMaskArray &rhs)
    {
        data &= rhs.data;
        return *this;
    }
    Vc_INTRINSIC SimdMaskArray &operator|=(const SimdMaskArray &rhs)
    {
        data |= rhs.data;
        return *this;
    }
    Vc_INTRINSIC SimdMaskArray &operator^=(const SimdMaskArray &rhs)
    {
        data ^= rhs.data;
        return *this;
    }

    Vc_INTRINSIC Vc_PURE SimdMaskArray operator&(const SimdMaskArray &rhs) const
    {
        return {data & rhs.data};
    }
    Vc_INTRINSIC Vc_PURE SimdMaskArray operator|(const SimdMaskArray &rhs) const
    {
        return {data | rhs.data};
    }
    Vc_INTRINSIC Vc_PURE SimdMaskArray operator^(const SimdMaskArray &rhs) const
    {
        return {data ^ rhs.data};
    }

    Vc_INTRINSIC Vc_PURE SimdMaskArray operator&&(const SimdMaskArray &rhs) const
    {
        return {data && rhs.data};
    }
    Vc_INTRINSIC Vc_PURE SimdMaskArray operator||(const SimdMaskArray &rhs) const
    {
        return {data || rhs.data};
    }

    Vc_INTRINSIC Vc_PURE bool isFull() const { return data.isFull(); }
    Vc_INTRINSIC Vc_PURE bool isNotEmpty() const { return data.isNotEmpty(); }
    Vc_INTRINSIC Vc_PURE bool isEmpty() const { return data.isEmpty(); }
    Vc_INTRINSIC Vc_PURE bool isMix() const { return data.isMix(); }

    Vc_INTRINSIC Vc_PURE int shiftMask() const { return data.shiftMask(); }

    Vc_INTRINSIC Vc_PURE int toInt() const { return data.toInt(); }

    Vc_INTRINSIC Vc_PURE EntryReference operator[](size_t index)
    {
        return data[index];
    }
    Vc_INTRINSIC Vc_PURE bool operator[](size_t index) const { return data[index]; }

    Vc_INTRINSIC Vc_PURE int count() const { return data.count(); }

    Vc_INTRINSIC Vc_PURE int firstOne() const { return data.firstOne(); }

    template <typename G> static Vc_INTRINSIC SimdMaskArray generate(const G &gen)
    {
        return {mask_type::generate(gen)};
    }

    Vc_INTRINSIC Vc_PURE SimdMaskArray shifted(int amount) const
    {
        return {data.shifted(amount)};
    }

    template <typename Op, typename... Args>
    static Vc_INTRINSIC SimdMaskArray fromOperation(Op op, Args &&... args)
    {
        SimdMaskArray r;
        op(r.data, Common::actual_value(op, std::forward<Args>(args))...);
        return r;
    }

    Vc_INTRINSIC SimdMaskArray(mask_type &&x) : data(std::move(x)) {}

    void setEntry(size_t index, bool x) { data.setEntry(index, x); }

private:
    storage_type data;
};

template <typename T, std::size_t N, typename VectorType> constexpr std::size_t SimdMaskArray<T, N, VectorType, N>::Size;
template <typename T, std::size_t N, typename VectorType>
constexpr std::size_t SimdMaskArray<T, N, VectorType, N>::MemoryAlignment;

template <typename T, std::size_t N, typename VectorType, std::size_t>
class alignas(
    ((Common::nextPowerOfTwo(N) * (sizeof(VectorType) / VectorType::size()) - 1) & 127) +
    1) SimdMaskArray
{
    static constexpr std::size_t N0 = Common::nextPowerOfTwo(N - N / 2);

    using Split = Common::Split<N0>;

public:
    using storage_type0 = SimdMaskArray<T, N0>;
    using storage_type1 = SimdMaskArray<T, N - N0>;
    static_assert(storage_type0::size() == N0, "");

    using vector_type = VectorType;

    friend storage_type0 &internal_data0(SimdMaskArray &m) { return m.data0; }
    friend storage_type1 &internal_data1(SimdMaskArray &m) { return m.data1; }
    friend const storage_type0 &internal_data0(const SimdMaskArray &m) { return m.data0; }
    friend const storage_type1 &internal_data1(const SimdMaskArray &m) { return m.data1; }

    using mask_type = SimdMaskArray;
    static constexpr std::size_t size() { return N; }
    static constexpr std::size_t Size = size();
    static constexpr std::size_t MemoryAlignment =
        storage_type0::MemoryAlignment > storage_type1::MemoryAlignment
            ? storage_type0::MemoryAlignment
            : storage_type1::MemoryAlignment;
    static_assert(Size == mask_type::Size, "size mismatch");

    using vectorentry_type = typename storage_type0::VectorEntryType;
    using vectorentry_reference = vectorentry_type &;
    using value_type = typename storage_type0::EntryType;
    using Mask = mask_type;
    using VectorEntryType = vectorentry_type;
    using EntryType = value_type;
    using EntryReference = typename std::conditional<
        std::is_same<typename storage_type0::EntryReference,
                     typename storage_type1::EntryReference>::value,
        typename storage_type0::EntryReference, Common::MaskEntry<SimdMaskArray>>::type;
    using Vector = SimdArray<T, N, VectorType, VectorType::Size>;

    Vc_FREE_STORE_OPERATORS_ALIGNED(alignof(mask_type))

    // zero init
    SimdMaskArray() = default;

    // default copy ctor/operator
    SimdMaskArray(const SimdMaskArray &) = default;
    SimdMaskArray(SimdMaskArray &&) = default;
    SimdMaskArray &operator=(const SimdMaskArray &) = default;
    SimdMaskArray &operator=(SimdMaskArray &&) = default;

    // implicit conversion from SimdMaskArray with same N
    template <typename U, typename V>
    Vc_INTRINSIC SimdMaskArray(const SimdMaskArray<U, N, V> &rhs)
        : data0(Split::lo(rhs)), data1(Split::hi(rhs))
    {
    }

    // conversion from any Segment object (could be SimdMaskArray or Mask<T>)
    template <typename M, std::size_t Pieces, std::size_t Index>
    Vc_INTRINSIC SimdMaskArray(
        Common::Segment<M, Pieces, Index> &&rhs,
        enable_if<Traits::simd_vector_size<M>::value == Size * Pieces> = nullarg)
        : data0(Split::lo(rhs)), data1(Split::hi(rhs))
    {
    }

    // conversion from Mask<T>
    template <typename M>
    Vc_INTRINSIC SimdMaskArray(
        M k,
        enable_if<(Traits::is_simd_mask<M>::value && !Traits::isSimdMaskArray<M>::value &&
                   Traits::simd_vector_size<M>::value == Size)> = nullarg)
        : data0(Split::lo(k)), data1(Split::hi(k))
    {
    }

    // implicit conversion to Mask<U, AnyAbi> for if Mask<U, AnyAbi>::size() == N
    template <typename M,
              typename = enable_if<Traits::is_simd_mask<M>::value &&
                                   !Traits::isSimdMaskArray<M>::value && M::size() == N>>
    operator M() const
    {
        return simd_cast<M>(*this);
    }

    Vc_INTRINSIC explicit SimdMaskArray(VectorSpecialInitializerOne one)
        : data0(one), data1(one)
    {
    }
    Vc_INTRINSIC explicit SimdMaskArray(VectorSpecialInitializerZero zero)
        : data0(zero), data1(zero)
    {
    }
    Vc_INTRINSIC explicit SimdMaskArray(bool b) : data0(b), data1(b) {}

    Vc_INTRINSIC static SimdMaskArray Zero() { return {storage_type0::Zero(), storage_type1::Zero()}; }
    Vc_INTRINSIC static SimdMaskArray One() { return {storage_type0::One(), storage_type1::One()}; }

    template <typename Flags = DefaultLoadTag>
    Vc_INTRINSIC explicit SimdMaskArray(const bool *mem, Flags f = Flags())
        : data0(mem, f), data1(mem + storage_type0::size(), f)
    {
    }

    Vc_INTRINSIC void load(const bool *mem)
    {
        data0.load(mem);
        data1.load(mem + storage_type0::size());
    }
    template <typename Flags> Vc_INTRINSIC void load(const bool *mem, Flags f)
    {
        data0.load(mem, f);
        data1.load(mem + storage_type0::size(), f);
    }

    Vc_INTRINSIC void store(bool *mem) const
    {
        data0.store(mem);
        data1.store(mem + storage_type0::size());
    }
    template <typename Flags> Vc_INTRINSIC void store(bool *mem, Flags f) const
    {
        data0.store(mem, f);
        data1.store(mem + storage_type0::size(), f);
    }

    Vc_INTRINSIC Vc_PURE bool operator==(const SimdMaskArray &rhs) const
    {
        return data0 == rhs.data0 && data1 == rhs.data1;
    }
    Vc_INTRINSIC Vc_PURE bool operator!=(const SimdMaskArray &rhs) const
    {
        return data0 != rhs.data0 || data1 != rhs.data1;
    }

    Vc_INTRINSIC Vc_PURE SimdMaskArray operator!() const
    {
        return {!data0, !data1};
    }

    Vc_INTRINSIC SimdMaskArray &operator&=(const SimdMaskArray &rhs)
    {
        data0 &= rhs.data0;
        data1 &= rhs.data1;
        return *this;
    }
    Vc_INTRINSIC SimdMaskArray &operator|=(const SimdMaskArray &rhs)
    {
        data0 |= rhs.data0;
        data1 |= rhs.data1;
        return *this;
    }
    Vc_INTRINSIC SimdMaskArray &operator^=(const SimdMaskArray &rhs)
    {
        data0 ^= rhs.data0;
        data1 ^= rhs.data1;
        return *this;
    }

    Vc_INTRINSIC Vc_PURE SimdMaskArray operator&(const SimdMaskArray &rhs) const
    {
        return {data0 & rhs.data0, data1 & rhs.data1};
    }
    Vc_INTRINSIC Vc_PURE SimdMaskArray operator|(const SimdMaskArray &rhs) const
    {
        return {data0 | rhs.data0, data1 | rhs.data1};
    }
    Vc_INTRINSIC Vc_PURE SimdMaskArray operator^(const SimdMaskArray &rhs) const
    {
        return {data0 ^ rhs.data0, data1 ^ rhs.data1};
    }

    Vc_INTRINSIC Vc_PURE SimdMaskArray operator&&(const SimdMaskArray &rhs) const
    {
        return {data0 && rhs.data0, data1 && rhs.data1};
    }
    Vc_INTRINSIC Vc_PURE SimdMaskArray operator||(const SimdMaskArray &rhs) const
    {
        return {data0 || rhs.data0, data1 || rhs.data1};
    }

    Vc_INTRINSIC Vc_PURE bool isFull() const { return data0.isFull() && data1.isFull(); }
    Vc_INTRINSIC Vc_PURE bool isNotEmpty() const { return data0.isNotEmpty() || data1.isNotEmpty(); }
    Vc_INTRINSIC Vc_PURE bool isEmpty() const { return data0.isEmpty() && data1.isEmpty(); }
    Vc_INTRINSIC Vc_PURE bool isMix() const { return !isFull() && !isEmpty(); }

    Vc_INTRINSIC Vc_PURE int toInt() const
    {
        return data0.toInt() | (data1.toInt() << data0.size());
    }

private:
    template <typename R>
    R subscript_impl(
        size_t index,
        enable_if<std::is_same<R, typename storage_type0::EntryReference>::value> =
            nullarg)
    {
        if (index < storage_type0::size()) {
            return data0[index];
        } else {
            return data1[index - storage_type0::size()];
        }
    }
    template <typename R>
    R subscript_impl(
        size_t index,
        enable_if<!std::is_same<R, typename storage_type0::EntryReference>::value> =
            nullarg)
    {
        return {*this, index};
    }

public:
    void setEntry(size_t index, bool x)
    {
        if (index < data0.size()) {
            data0.setEntry(index, x);
        } else {
            data1.setEntry(index - data0.size(), x);
        }
    }

    Vc_INTRINSIC Vc_PURE EntryReference operator[](size_t index) {
        return subscript_impl<EntryReference>(index);
    }
    Vc_INTRINSIC Vc_PURE bool operator[](size_t index) const {
        if (index < storage_type0::size()) {
            return data0[index];
        } else {
            return data1[index - storage_type0::size()];
        }
    }

    Vc_INTRINSIC Vc_PURE int count() const { return data0.count() + data1.count(); }

    Vc_INTRINSIC Vc_PURE int firstOne() const {
        if (data0.isEmpty()) {
            return data1.firstOne() + storage_type0::size();
        }
        return data0.firstOne();
    }

    template <typename G> static Vc_INTRINSIC SimdMaskArray generate(const G &gen)
    {
        return {storage_type0::generate(gen),
                storage_type1::generate([&](std::size_t i) { return gen(i + N0); })};
    }

    inline Vc_PURE SimdMaskArray shifted(int amount) const
    {
        if (Vc_IS_UNLIKELY(amount == 0)) {
            return *this;
        }
        SimdMaskArray r{};
        if (amount < 0) {
            for (int i = 0; i < int(Size) + amount; ++i) {
                r[i - amount] = operator[](i);
            }
        } else {
            for (int i = 0; i < int(Size) - amount; ++i) {
                r[i] = operator[](i + amount);
            }
        }
        return r;
    }

    template <typename Op, typename... Args>
    static Vc_INTRINSIC SimdMaskArray fromOperation(Op op, Args &&... args)
    {
        SimdMaskArray r = {
            storage_type0::fromOperation(op, Split::lo(args)...),  // no forward here - it
                                                                   // could move and thus
                                                                   // break the next line
            storage_type1::fromOperation(op, Split::hi(std::forward<Args>(args))...)};
        return r;
    }

    Vc_INTRINSIC SimdMaskArray(storage_type0 &&x, storage_type1 &&y)
        : data0(std::move(x)), data1(std::move(y))
    {
    }

private:
    storage_type0 data0;
    storage_type1 data1;
};
template <typename T, std::size_t N, typename VectorType, std::size_t M> constexpr std::size_t SimdMaskArray<T, N, VectorType, M>::Size;
template <typename T, std::size_t N, typename VectorType, std::size_t M>
constexpr std::size_t SimdMaskArray<T, N, VectorType, M>::MemoryAlignment;


}  // namespace Vc

// XXX: this include should be in <Vc/vector.h>. But at least clang 3.4 then fails to compile the

#include "simd_cast_caller.tcc"