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(重新)在非标准容器中使用std :: algorithms

[英](Re)Using std::algorithms with non-standard containers

I have a "column" container type: 我有一个“列”容器类型:

struct MyColumnType { 
  // Data: Each row represents a member of an object.
  vector<double> a;   // All vectors are guaranteed to have always
  vector<string> b;   // the same length.
  vector<int> c;

  void copy(int from_pos, int to_pos); // The column type provides an interface
  void swap(int pos_a, int pos_b);     // for copying, swapping, ...

  void push_back();      // And for resizing the container.
  void pop_back();
  void insert(int pos);
  void remove(int pos);
  // The interface can be extended/modified if required
};

Usage: 用法:

// If table is a constructed container with elements stored 
// To acces the members of the object stored at the 4th position:
table.a[4] = 4.0;
table.b[4] = "4th";
table.c[4] = 4;

Question: How can I create a standard-compliant random access iterator (and probably a required proxy reference type) for this kind of container? 问题:如何为这种容器创建符合标准的随机访问迭代器(可能是必需的代理引用类型)?

I want to be able to use std::algorithms for random access iterators with my type, eg sort (note: for sorting the comparison would be provided by an user-defined functor, eg a lambda). 我希望能够将std::algorithms用于具有我的类型的随机访问迭代器,例如sort (注意:用于排序的比较将由用户定义的函子(例如lambda)提供)。

In particular the iterator should provide an interface similar to 特别是,迭代器应提供类似于以下内容的接口

struct {
  double& a;
  string& b;
  int& c;
};

Note 0: C++11/C++14 is allowed. 注意0:允许C ++ 11 / C ++ 14。

Note 1: There is an old paper http://hci.iwr.uni-heidelberg.de/vigra/documents/DataAccessors.ps where a similar attempt is undertaken. 注1:有一篇旧论文http://hci.iwr.uni-heidelberg.de/vigra/documents/DataAccessors.ps进行了类似尝试。 However, I haven't been able to get their approach working with sort. 但是,我无法使其排序有效。 Requirements like defaultConstructible are hard to satisfy using a proxy type approach (why does std::sort require types to be default constructible instead of swappable is beyond my understanding). 使用代理类型方法很难满足诸如defaultConstructible之std::sort要求(为什么std::sort要求类型必须是默认可构造的,而不是可交换的类型,这超出了我的理解)。

Note 2: I cannot do the following: 注意2:我无法执行以下操作:

struct MyType {
  double a;
  string b;
  int c;
};

std::vector<MyType> v;

and then use std::algorithm . 然后使用std::algorithm

Motivation: Performance. 动机:绩效。 A cache-line is usually 64bytes, ie 8 doubles. 高速缓存行通常为64字节,即8倍。 In this simple struct if you iterate over the doubles, you are polluting a cache-line with a string an an int. 在这个简单的结构中,如果您遍历双精度数,则会用字符串an int污染高速缓存行。 In other cases, you might get only 1 double transfered per cache-line. 在其他情况下,每个高速缓存行可能只会转移1次。 That is, you end up using 1/8-th of the memory bandwith available. 也就是说,您最终会使用可用存储带宽的1/8。 If you need to iterate over a couple of Gb of doubles, this simple decision improves your application performance by a factor of 6-7x. 如果您需要迭代两倍的Gb,那么这个简单的决定将您的应用程序性能提高6-7倍。 And no, I cannot give that up. 不,我不能放弃。

Bonus: the answer should be as generic as possible. 奖励:答案应该尽可能通用。 Think about adding/removing fields to the container type as adding/removing members to a struct. 考虑将字段添加/删除到容器类型作为结构的成员添加/删除成员。 You don't want to change a lot of code every time you add a new member. 您不想每次添加新成员时都更改很多代码。

I think something like this could be Standard-compliant. 我认为类似这样的东西可能符合标准。 It uses some C++11 features to simplify the syntax, but could as well be changed to comply C++03 AFAIK. 它使用一些C ++ 11功能来简化语法,但也可以更改为符合C ++ 03 AFAIK。

Tested and works with clang++3.2 经过测试并与clang ++ 3.2配合使用

Prelude: 序幕:

#include <vector>
#include <string>
#include <utility>  // for std::swap
#include <iterator>

using std::vector;
using std::string;


// didn't want to insert all those types as nested classes of MyColumnType
namespace MyColumnType_iterator
{
    struct all_copy;
    struct all_reference;
    struct all_iterator;
}


// just provided `begin` and `end` member functions
struct MyColumnType {
    // Data: Each row represents a member of an object.
    vector<double> a;   // All vectors are guaranteed to have always
    vector<string> b;   // the same length.
    vector<int> c;

    void copy(int from_pos, int to_pos); // The column type provides an itface
    void swap(int pos_a, int pos_b);     // for copying, swapping, ...

    void push_back();      // And for resizing the container.
    void pop_back();
    void insert(int pos);
    void remove(int pos);
    // The interface can be extended/modified if required


    using iterator = MyColumnType_iterator::all_iterator;
    iterator begin();
    iterator end();
};

The iterator classes: a value_type ( all_copy ), a reference type ( all_reference ) and the iterator type ( all_iterator ). 迭代器类: value_typeall_copy ), reference类型( all_reference )和迭代器类型( all_iterator )。 Iterating is done by keeping and updating three iterators (one to each vector ). 通过保留和更新三个迭代器(每个vector一个)来完成迭代。 I don't know if that's the most performant option, though. 不过,我不知道这是否是性能最高的选择。

How it works: std::iterator_traits defines several associated types for an iterator: [iterator.traits]/1 工作原理: std::iterator_traits定义了几种关联的类型:[iterator.traits] / 1

iterator_traits<Iterator>::difference_type
iterator_traits<Iterator>::value_type
iterator_traits<Iterator>::iterator_category
be defined as the iterator's difference type, value type and iterator category, respectively. 分别定义为迭代器的差异类型,值类型和迭代器类别。 In addition, the types 另外,类型
iterator_traits<Iterator>::reference
iterator_traits<Iterator>::pointer
shall be defined as the iterator's reference and pointer types, that is, for an iterator object a, the same type as the type of *a and a-> , respectively 应定义为迭代器的引用和指针类型,即对于迭代器对象a,其类型分别与*aa->的类型相同

Therefore, you can introduce a struct ( all_reference ) keeping three references as reference type. 因此,您可以引入一个结构( all_reference ),将三个引用作为reference类型。 This type is the return value of *a , where a is of the iterator type (possibly const -qualified). 此类型是*a的返回值,其中a是迭代器类型(可能是const限定的)。 There needs to be a different value_type because some Standard Library algorithms such as sort might want to create a local variable temporarily storing the value of *a (by copy or move into the local variable). 由于某些标准库算法(例如sort可能想要创建一个临时存储*a值(通过复制或移入该局部变量)的局部变量,因此必须有一个不同的value_type In this case, all_copy provides this functionality. 在这种情况下, all_copy提供此功能。

You're not required to use it ( all_copy ) in you own loops, where it could affect performance. 您不需要在自己的循环中使用它( all_copy ),因为它可能会影响性能。

namespace MyColumnType_iterator
{
    struct all_copy;

    struct all_reference
    {
        double& a;
        string& b;
        int& c;

        all_reference() = delete;
        // not required for std::sort, but stream output is simpler to write
        // with this
        all_reference(all_reference const&) = default;
        all_reference(double& pa, string& pb, int& pc)
            : a{pa}
            , b{pb}
            , c{pc}
        {}

        // MoveConstructible required for std::sort
        all_reference(all_reference&& other) = default;
        // MoveAssignable required for std::sort
        all_reference& operator= (all_reference&& other)
        {
            a = std::move(other.a);
            b = std::move(other.b);
            c = std::move(other.c);

            return *this;
        }

        // swappable required for std::sort
        friend void swap(all_reference p0, all_reference p1)
        {
            std::swap(p0.a, p1.a);
            std::swap(p0.b, p1.b);
            std::swap(p0.c, p1.c);
        }

        all_reference& operator= (all_copy const& p) = default;
        all_reference& operator= (all_copy&& p) = default;

        // strict total ordering required for std::sort
        friend bool operator< (all_reference const& lhs,
                               all_reference const& rhs);
        friend bool operator< (all_reference const& lhs, all_copy const& rhs);
        friend bool operator< (all_copy const& lhs, all_reference const& rhs);
    };

    struct all_copy
    {
        double a;
        string b;
        int c;

        all_copy(all_reference const& p)
            : a{p.a}
            , b{p.b}
            , c{p.c}
        {}
        all_copy(all_reference&& p)
            : a{ std::move(p.a) }
            , b{ std::move(p.b) }
            , c{ std::move(p.c) }
        {}
    };

There needs to be a comparison function for std::sort . 需要为std::sort提供比较功能。 For some reason we have to provide all three. 由于某些原因,我们必须提供所有这三个。

    bool operator< (all_reference const& lhs, all_reference const& rhs)
    {
        return lhs.c < rhs.c;
    }
    bool operator< (all_reference const& lhs, all_copy const& rhs)
    {
        return lhs.c < rhs.c;
    }
    bool operator< (all_copy const& lhs, all_reference const& rhs)
    {
        return lhs.c < rhs.c;
    }

Now, the iterator class: 现在,迭代器类:

    struct all_iterator
        : public std::iterator < std::random_access_iterator_tag, all_copy >
    {
        //+ specific to implementation
        private:
            using ItA = std::vector<double>::iterator;
            using ItB = std::vector<std::string>::iterator;
            using ItC = std::vector<int>::iterator;
            ItA iA;
            ItB iB;
            ItC iC;

        public:
            all_iterator(ItA a, ItB b, ItC c)
                : iA(a)
                , iB(b)
                , iC(c)
            {}
        //- specific to implementation


        //+ for iterator_traits
            using reference = all_reference;
            using pointer = all_reference;
        //- for iterator_traits


        //+ iterator requirement [iterator.iterators]/1
            all_iterator(all_iterator const&) = default;            // CopyConstructible
            all_iterator& operator=(all_iterator const&) = default; // CopyAssignable
            ~all_iterator() = default;                              // Destructible

            void swap(all_iterator& other)                          // lvalues are swappable
            {
                std::swap(iA, other.iA);
                std::swap(iB, other.iB);
                std::swap(iC, other.iC);
            }
        //- iterator requirements [iterator.iterators]/1
        //+ iterator requirement [iterator.iterators]/2
            all_reference operator*()
            {
                return {*iA, *iB, *iC};
            }
            all_iterator& operator++()
            {
                ++iA;
                ++iB;
                ++iC;
                return *this;
            }
        //- iterator requirement [iterator.iterators]/2

        //+ input iterator requirements [input.iterators]/1
            bool operator==(all_iterator const& other) const        // EqualityComparable
            {
                return iA == other.iA;  // should be sufficient (?)
            }
        //- input iterator requirements [input.iterators]/1
        //+ input iterator requirements [input.iterators]/2
            bool operator!=(all_iterator const& other) const        // "UnEqualityComparable"
            {
                return iA != other.iA;  // should be sufficient (?)
            }

            all_reference const operator*() const                   // *a
            {
                return {*iA, *iB, *iC};
            }

            all_reference operator->()                              // a->m
            {
                return {*iA, *iB, *iC};
            }
            all_reference const operator->() const                  // a->m
            {
                return {*iA, *iB, *iC};
            }

            // ++r already satisfied

            all_iterator operator++(int)                            // *++r
            {
                all_iterator temp(*this);
                ++(*this);
                return temp;
            }
        //- input iterator requirements [input.iterators]/2

        //+ output iterator requirements [output.iterators]/1
            // *r = o already satisfied
            // ++r already satisfied
            // r++ already satisfied
            // *r++ = o already satisfied
        //- output iterator requirements [output.iterators]/1

        //+ forward iterator requirements [forward.iterators]/1
            all_iterator() = default;                               // DefaultConstructible
            // r++ already satisfied
            // *r++ already satisfied
            // multi-pass must be guaranteed
        //- forward iterator requirements [forward.iterators]/1

        //+ bidirectional iterator requirements [bidirectional.iterators]/1
            all_iterator& operator--()                              // --r
            {
                --iA;
                --iB;
                --iC;
                return *this;
            }
            all_iterator operator--(int)                            // r--
            {
                all_iterator temp(*this);
                --(*this);
                return temp;
            }
            // *r-- already satisfied
        //- bidirectional iterator requirements [bidirectional.iterators]/1

        //+ random access iterator requirements [random.access.iterators]/1
            all_iterator& operator+=(difference_type p)             // r += n
            {
                iA += p;
                iB += p;
                iC += p;
                return *this;
            }
            all_iterator operator+(difference_type p) const         // a + n
            {
                all_iterator temp(*this);
                temp += p;
                return temp;
            }
            // doesn't have to be a friend function, but this way,
            // we can define it here
            friend all_iterator operator+(difference_type p,
                                         all_iterator temp)         // n + a
            {
                temp += p;
                return temp;
            }

            all_iterator& operator-=(difference_type p)             // r -= n
            {
                iA -= p;
                iB -= p;
                iC -= p;
                return *this;
            }
            all_iterator operator-(difference_type p) const         // a - n
            {
                all_iterator temp(*this);
                temp -= p;
                return temp;
            }

            difference_type operator-(all_iterator const& p)        // b - a
            {
                return iA - p.iA;   // should be sufficient (?)
            }

            all_reference operator[](difference_type p)             // a[n]
            {
                return *(*this + p);
            }
            all_reference const operator[](difference_type p) const // a[n]
            {
                return *(*this + p);
            }

            bool operator<(all_iterator const& p) const             // a < b
            {
                return iA < p.iA;   // should be sufficient (?)
            }
            bool operator>(all_iterator const& p) const             // a > b
            {
                return iA > p.iA;   // should be sufficient (?)
            }
            bool operator>=(all_iterator const& p) const            // a >= b
            {
                return iA >= p.iA;  // should be sufficient (?)
            }
            bool operator<=(all_iterator const& p) const            // a >= b
            {
                return iA <= p.iA;  // should be sufficient (?)
            }
        //- random access iterator requirements [random.access.iterators]/1
    };
}//- namespace MyColumnType_iterator


MyColumnType::iterator MyColumnType::begin()
{
    return { a.begin(), b.begin(), c.begin() };
}
MyColumnType::iterator MyColumnType::end()
{
    return { a.end(), b.end(), c.end() };
}

Usage example: 用法示例:

#include <iostream>
#include <cstddef>
#include <algorithm>


namespace MyColumnType_iterator
{
    template < typename char_type, typename char_traits >
    std::basic_ostream < char_type, char_traits >&
    operator<< (std::basic_ostream < char_type, char_traits >& o,
                std::iterator_traits<MyColumnType::iterator>::reference p)
    {
        return o << p.a << ";" << p.b << ";" << p.c;
    }
}

int main()
{
    using std::cout;

    MyColumnType mct =
    {
          {1.0, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1}
        , {"j", "i", "h", "g", "f", "e", "d", "c", "b", "a"}
        , {10,    9,   8,   7,   6,   5,   4,   3,   2,   1}
    };

    using ref = std::iterator_traits<MyColumnType::iterator>::reference;
    std::copy(mct.begin(), mct.end(), std::ostream_iterator<ref>(cout, ", "));
    std::cout << std::endl;

    std::sort(mct.begin(), mct.end());
    std::copy(mct.begin(), mct.end(), std::ostream_iterator<ref>(cout, ", "));
    std::cout << std::endl;
}

Output: 输出:

1;j;10, 0.9;i;9, 0.8;h;8, 0.7;g;7, 0.6;f;6, 0.5;e;5, 0.4;d;4, 0.3;c;3, 0.2;b;2, 0.1;a;1, 1; j; 10,0.9; i; 9,0.8; h; 8,0.7; g; 7,0.6; f; 6,0.5; e; 5,0.4; d; 4,0.3; c; 3,0.2; b; 2,0.1; a; 1,
0.1;a;1, 0.2;b;2, 0.3;c;3, 0.4;d;4, 0.5;e;5, 0.6;f;6, 0.7;g;7, 0.8;h;8, 0.9;i;9, 1;j;10, 0.1; a; 1,0.2; b; 2,0.3; c; 3,0.4; d; 4,0.5; e; 5,0.6; f; 6,0.7; g; 7,0.8; h; 8,0.9; i; 9,1; j; 10,

If you're really concerned about performance and you want to sort your container with std::sort , use the overload that allows you to provide a custom comparison object: 如果您真的很在意性能,并且想要使用std::sort容器进行std::sort ,请使用允许您提供自定义比较对象的重载:

template <class RandomAccessIterator, class Compare>
void sort (RandomAccessIterator first, RandomAccessIterator last, Compare comp);

.. and sort an array of indices into the container. ..并将索引数组排序到容器中。 Here's how: 这是如何做:

You'll need the following members in your container: 您的容器中需要以下成员:

struct MyColumnType { 
    ...

    int size() const;

    // swaps columns
    void swap(int l, int r);

    // returns true if column l is less than column r
    bool less(int l, int r) const;

    ...
};

Then define the following comparison object: 然后定义以下比较对象:

struct MyColumnTypeLess
{
    const MyColumnType* container;
    MyColumnTypeLess(const MyColumnType* container)
        : container(container)
    {
    }
    bool operator()(int l, int r) const
    {
        return container->less(l, r);
    }
};

And use it to sort an array of indices: 并使用它对索引数组进行排序:

void sortMyColumnType(MyColumnType& container)
{
    std::vector<int> indices;
    indices.reserve(container.size());
    // fill with [0, n)
    for(int i = 0; i != container.size(); ++i)
    {
        indices.push_back(i);
    }
    // sort the indices
    std::sort(indices.begin(), indices.end(), MyColumnTypeLess(&container));
}

The 'less' member of the container controls which order to sort in: 容器的“少”成员控制排序顺序:

bool MyColumnType::less(int l, int r) const
{
    // sort first by a, then b, then c
    return a[l] != a[r] ? a[l] < a[r]
        : b[l] != b[r] ? b[l] < b[r]
        : c[l] < c[r];
}

The sorted array of indices can be used in further algorithms - you can avoid copying the actual data around until you need to. 索引的排序数组可以在其他算法中使用-您可以避免在需要之前避免复制实际数据。

All std algorithms that work with RandomAccessIterators have overloads that allow you to specify custom comparison objects, so they can also be used with this technique. 与RandomAccessIterator一起使用的所有std算法都有重载,允许您指定自定义比较对象,因此它们也可以与该技术一起使用。

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