Lambda函数中不是常量表达式

时间:2020-06-08 14:45:45

标签: c++ boost c++17 boost-hana

我有以下代码:

#include <boost/hana.hpp>
#include <array>
#include <iostream>
#include <utility>

namespace hana = boost::hana;

#define HEADER_CONNECT 0b00010000
#define HEADER_CONNACK 0b00001000

struct ConnectFrame
{
    uint8_t header = 16;
    uint8_t variable = 2;
};

struct ConnackFrame
{
    uint8_t header = 8;
    uint8_t variable = 3;
};

constexpr auto FramesMap = hana::make_tuple(
    hana::make_pair(hana::type_c<ConnectFrame>, hana::integral_c<std::uint8_t, HEADER_CONNECT>),
    hana::make_pair(hana::type_c<ConnackFrame>, hana::integral_c<std::uint8_t, HEADER_CONNACK>));

//! Runtime deserialization switch based on FramesMap
template <typename InputIterator>
auto deserializeByFrameHeader(const std::uint8_t frameHeader, const InputIterator buffer)
{
    auto found = hana::index_if(FramesMap, [&frameHeader = std::as_const(frameHeader)](auto const &pair) {
        return hana::second(pair) == hana::integral_c<std::uint8_t, frameHeader>;
    });
    auto FrameType = hana::first(hana::at(FramesMap, found.value()));
    using T = typename decltype(FrameType)::type;
    T var;
    //deserialize(buffer, var);
    return var;
}

int main()
{
    std::array<std::byte, 128> buffer;
    // for dummy purposes we assume that the first byte of the buffer array after serialization is 8
    const uint8_t header = 8;
    ConnackFrame frameOut = deserializeByFrameHeader(header, buffer.begin());
}

Live demo

我尝试在与变量frameHeader匹配的元组中找到该对的索引。不幸的是,我收到一个编译错误:

../include/minimalMQTT.hpp:178:43: error: 'this' is not a constant expression
  178 |                 return hana::second(pair) == hana::integral_c<std::uint8_t, frameHeader>;
      |                        ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

如何才能将变量frameHeader声明为常量表达式以使其起作用?

1 个答案:

答案 0 :(得分:1)

hana::integral_c<std::uint8_t, frameHeader>

integral_c是一种编码静态已知值的类型。但是,您尝试使用frameHeader实例化该变量,该变量不是静态的。

要在编译参数值上映射运行时值,最好的办法是进行映射(有时使用二进制搜索)。但是,您也可以检查是否需要评估此编译时间。

解决方法

在您的 specific 示例中,您可以使用constexpr lambda(考虑到最近的编译器!)来解决问题。

在实践中,我怀疑这是否永远都能满足您的需求,但是只是您知道这个窍门:

Live On Wandbox

#include <boost/hana.hpp>
#include <boost/core/ignore_unused.hpp>
#include <array>
#include <iostream>
#include <utility>

namespace hana = boost::hana;

#define HEADER_CONNECT 0b00010000
#define HEADER_CONNACK 0b00001000

struct ConnectFrame
{
    uint8_t header = 16;
    uint8_t variable = 2;
};

struct ConnackFrame
{
    uint8_t header = 8;
    uint8_t variable = 3;
};

constexpr auto FramesMap = hana::make_tuple(
    hana::make_pair(hana::type_c<ConnectFrame>, hana::integral_c<std::uint8_t, HEADER_CONNECT>),
    hana::make_pair(hana::type_c<ConnackFrame>, hana::integral_c<std::uint8_t, HEADER_CONNACK>));

//! Runtime deserialization switch based on FramesMap
template <typename FrameHeader, typename InputIterator>
auto deserializeByFrameHeader(FrameHeader const frameHeader, const InputIterator buffer)
{
    auto found = hana::index_if(FramesMap, [=](auto const &pair) constexpr {
        return hana::second(pair) == hana::integral_c<std::uint8_t, frameHeader()>;
    });
    auto FrameType = hana::first(hana::at(FramesMap, found.value()));
    using T = typename decltype(FrameType)::type;
    T var;
    boost::ignore_unused(buffer);
    //deserialize(buffer, var);
    return var;
}

int main()
{
    std::array<std::byte, 128> buffer;
    // for dummy purposes we assume that the first byte of the buffer array after serialization is 8
    ConnackFrame frameOut = deserializeByFrameHeader(
            []() constexpr { return 8; },
            buffer.begin());

    boost::ignore_unused(frameOut);
}

更新

从技术上讲,标头是缓冲区数组的第一个字节,即uint8_t标头=(uint8_t)buffer [0]。是否可以省略header参数,并直接从缓冲区中将其标题提取为constexpr?

不。

返回类型是固定的。输入是动态的。无法(有效/有效地)铺平道路。

顺便说一句,如果我不需要评估编译时间,那将是一个解决方案?

由于要解析协议消息,因此自然会打开类型id(因为它们在网络上的存在方式)。作为认真的C ++程序员,您自然希望尽快将抽象层跳到proper type-switching

  • 老式技术是动态多态性(虚拟接口和继承)
  • 现代机制包括std::variant<...>和访问。

取决于您的使用模式和处理需求,两者可能都更适用。 std::variant具有很好的功能,它以可切换的方式编码类型,但是访问保留了静态类型信息。这意味着:从技术上讲,您也许可以利用静态类型信息,内联和所有优化优势。

这就是您要追求的。所以我建议:

Live On Coliru

#include <array>
#include <iostream>
#include <variant>

constexpr uint8_t HEADER_CONNECT = 0b00010000;
constexpr uint8_t HEADER_CONNACK = 0b00001000;

struct ConnectFrame {
    uint8_t header = 16;
    uint8_t variable = 2;
};

struct ConnackFrame {
    uint8_t header = 8;
    uint8_t variable = 3;
};

// Static typed land
void handler(ConnectFrame const&) { std::cout << "Handling ConnectFrame\n"; }
void handler(ConnackFrame const&) { std::cout << "Handling ConnackFrame\n"; }

template <typename InputIterator>
void deserialize(InputIterator&, ConnectFrame&) { /*TODO*/ }

template <typename InputIterator>
void deserialize(InputIterator&, ConnackFrame&) { /*TODO*/ }

template <typename Frame, typename InputIterator>
Frame deserialize(InputIterator& buffer) {
    Frame frame;
    deserialize(buffer, frame);
    return frame;
}

// Type-swithcing land
template <typename InputIterator>
constexpr inline std::uint8_t frameHeader(InputIterator& buffer) {
    return static_cast<std::uint8_t>(*buffer++);
}

using AnyFrame = std::variant<ConnectFrame, ConnackFrame>;

template <typename InputIterator>
AnyFrame deserializeByFrameHeader(InputIterator&& buffer) {
    switch (uint8_t h = frameHeader(buffer)) {
        case HEADER_CONNECT: return deserialize<ConnectFrame>(buffer);
        case HEADER_CONNACK: return deserialize<ConnackFrame>(buffer);
    }
    throw std::range_error("frameHeader");
}

int main() {
    constexpr auto process = [](auto const& frame) { handler(frame); };
    using Buffer = std::array<std::byte, 128>;

    for (auto buffer : { Buffer 
        { std::byte(HEADER_CONNECT), std::byte(0x12), std::byte(0x34), },
        { std::byte(HEADER_CONNACK), std::byte(0xab), std::byte(0xcd), } })
    {
        auto frameOut = deserializeByFrameHeader(buffer.begin());
        std::visit(process, frameOut);
    }
}

哪些印刷品

Handling ConnectFrame
Handling ConnackFrame

使用Hana映射

如果您真的认为从映射表开始工作很重要,则可以使用更多的代码和编译器汗水:

constexpr auto FramesMap = hana::make_tuple(
    hana::make_pair(hana::type_c<ConnectFrame>, HEADER_CONNECT),
    hana::make_pair(hana::type_c<ConnackFrame>, HEADER_CONNACK)
);

请注意,由于我们不需要integral_c,我将其丢掉了

AnyFrame成为框架类型的变体:

constexpr auto FrameTypes = hana::transform(FramesMap, hana::first);

using AnyFrame = decltype(
        hana::unpack(FrameTypes, hana::template_<std::variant>))
    ::type;

现在,让我们重新使用deserializeByFrameHeader

template <typename InputIterator>
AnyFrame deserializeByFrameHeader(InputIterator&& buffer) {
    AnyFrame retval;

    hana::for_each(FramesMap,
        [&, frameHeader = frameHeader(buffer)](auto const &pair) {
            auto first = hana::first(pair);
            using T = typename decltype(first)::type;

            if (hana::second(pair) == frameHeader) {
                retval.emplace<T>();
                deserialize(buffer, std::get<T>(retval));
            }
        });

    return retval;
}

请注意简化:我们将所有内容都取决于多态lambda中的元组元素(pair)的静态类型,在那里我们始终可以使用帧类型。

完整演示

Live On Coliru

#include <cstdint>
constexpr uint8_t HEADER_CONNECT = 0b00010000;
constexpr uint8_t HEADER_CONNACK = 0b00001000;

struct ConnectFrame {
    uint8_t header = 16;
    uint8_t variable = 2;
};

struct ConnackFrame {
    uint8_t header = 8;
    uint8_t variable = 3;
};

#include <boost/hana.hpp>
#include <stdexcept>
#include <variant>
#include <iostream>

namespace {
    namespace hana = boost::hana;

    constexpr auto FramesMap = hana::make_tuple(
        hana::make_pair(hana::type_c<ConnectFrame>, HEADER_CONNECT),
        hana::make_pair(hana::type_c<ConnackFrame>, HEADER_CONNACK)
    );

    constexpr auto FrameTypes = hana::transform(FramesMap, hana::first);

    using AnyFrame = decltype(
            hana::unpack(FrameTypes, hana::template_<std::variant>))
        ::type;
}

// Static typed land
void handler(ConnectFrame const&) { std::cout << "Handling ConnectFrame\n"; }
void handler(ConnackFrame const&) { std::cout << "Handling ConnackFrame\n"; }

template <typename InputIterator>
void deserialize(InputIterator&, ConnectFrame&) { /*TODO*/ }

template <typename InputIterator>
void deserialize(InputIterator&, ConnackFrame&) { /*TODO*/ }

// Type-swithcing land
template <typename InputIterator>
constexpr inline std::uint8_t frameHeader(InputIterator& buffer) {
    return static_cast<std::uint8_t>(*buffer++);
}

template <typename InputIterator>
AnyFrame deserializeByFrameHeader(InputIterator&& buffer) {
    AnyFrame retval;

    hana::for_each(FramesMap,
        [&, frameHeader = frameHeader(buffer)](auto const &pair) {
            auto first = hana::first(pair);
            using T = typename decltype(first)::type;

            if (hana::second(pair) == frameHeader) {
                retval.emplace<T>();
                deserialize(buffer, std::get<T>(retval));
            }
        });

    return retval;
}

#include <array>
int main() {
    constexpr auto process = [](auto const& frame) { handler(frame); };
    using Buffer = std::array<std::byte, 128>;

    for (auto buffer : { Buffer 
        { std::byte(HEADER_CONNECT), std::byte(0x12), std::byte(0x34), },
        { std::byte(HEADER_CONNACK), std::byte(0xab), std::byte(0xcd), } })
    {
        auto frameOut = deserializeByFrameHeader(buffer.begin());
        std::visit(process, frameOut);
    }
}

打印

Handling ConnectFrame
Handling ConnackFrame