我正在努力实现笛卡尔积
给定范围的多个索引0,...,n-1
.
基本思想是有一个函数:
cartesian_product<std::size_t range, std::size_t sets>()
输出数组包含保存不同产品的元组
[(0,..,0), (0,...,1), (0,...,n-1),...., (n-1, ..., n-1)]
一个简单的例子如下:
auto result = cartesian_product<3, 2>();
输出类型为std::array<std::tuple<int, int>, (3^2)>
:
[(0,0), (0,1), (0,2), (1,0), (1,1), (1,2), (2,0), (2,1), (2,2)]
我的主要问题是我的笛卡尔积版本很慢,如果您选择超过 5 个集合,则会导致堆栈溢出。我认为我的代码有太多递归和临时变量。
我的实现(C++17)可以在这里找到:cartesian_product
#include <stdio.h>
#include <iostream>
#include <tuple>
template<typename T, std::size_t ...is>
constexpr auto flatten_tuple_i(T tuple, std::index_sequence<is...>) {
return std::tuple_cat(std::get<is>(tuple)...);
}
template<typename T>
constexpr auto flatten_tuple(T tuple) {
return flatten_tuple_i(tuple, std::make_index_sequence<std::tuple_size<T>::value>{});
}
template<std::size_t depth, typename T>
constexpr auto recursive_flatten_tuple(T tuple){
if constexpr(depth <= 1){
return tuple;
}else{
return recursive_flatten_tuple<depth-1>(flatten_tuple(tuple));
}
}
template<std::size_t depth, typename T, std::size_t ...is>
constexpr auto wdh(T&& tuple, std::index_sequence<is...>){
if constexpr (depth == 0) {
return tuple;
}else{
//return (wdh<depth-1>(std::tuple_cat(tuple, std::make_tuple(is)),std::make_index_sequence<sizeof...(is)>{})...);
return std::make_tuple(wdh<depth-1>(std::tuple_cat(tuple, std::make_tuple(is)), std::make_index_sequence<sizeof...(is)>{})...);
}
}
template<std::size_t sets, typename T, std::size_t ...is>
constexpr auto to_array(T tuple, std::index_sequence<is...>){
if constexpr (sets == 0){
auto t = (std::make_tuple(std::get<is>(tuple)),...);
std::array<decltype(t), sizeof...(is)> arr = {std::make_tuple(std::get<is>(tuple))...};
//decltype(arr)::foo = 1;
return arr;
}else{
auto t = ((std::get<is>(tuple)),...);
std::array<decltype(t), sizeof...(is)> arr = {std::get<is>(tuple)...};
return arr;
}
}
template<std::size_t sets, std::size_t ...is>
constexpr auto ct_i(std::index_sequence<is...>){
if constexpr (sets == 0){
auto u = std::tuple_cat(wdh<sets>(std::make_tuple(is), std::make_index_sequence<sizeof...(is)>{})...);
auto arr = to_array<sets>(u, std::make_index_sequence<std::tuple_size<decltype(u)>::value>{});
return arr;
}else {
auto u = std::tuple_cat(wdh<sets>(std::make_tuple(is), std::make_index_sequence<sizeof...(is)>{})...);
auto r = recursive_flatten_tuple<sets>(u);
auto d = to_array<sets>(r, std::make_index_sequence<std::tuple_size<decltype(r)>::value>{});
return d;
}
}
template<std::size_t range, std::size_t sets>
constexpr auto cartesian_product(){
static_assert( (range > 0), "lowest input must be cartesian<1,1>" );
static_assert( (sets > 0), "lowest input must be cartesian<1,1>" );
return ct_i<sets-1>(std::make_index_sequence<range>{});
}
int main()
{
constexpr auto crt = cartesian_product<3, 2>();
for(auto&& ele : crt){
std::cout << std::get<0>(ele) << " " << std::get<1>(ele) << std::endl;
}
return 0;
}
最佳答案
由于我也在研究一个解决方案,所以我想我也发布了它(尽管与 Artyer 的答案非常相似)。同样的前提,我们用数组替换元组,然后迭代元素,将它们一一递增。
请注意,power
函数已损坏,因此如果您需要功率值 <0 或非整数类型,则必须修复它。
template <typename It, typename T>
constexpr void setAll(It begin, It end, T value)
{
for (; begin != end; ++begin)
*begin = value;
}
template <typename T, std::size_t I>
constexpr void increment(std::array<T, I>& counter, T max)
{
for (auto idx = I; idx > 0;)
{
--idx;
if (++counter[idx] >= max)
{
setAll(counter.begin() + idx, counter.end(), 0); // because std::fill is not constexpr yet
}
else
{
break;
}
}
}
// std::pow is not constexpr
constexpr auto power = [](auto base, auto power)
{
auto result = base;
while (--power)
result *= base;
return result;
};
template<std::size_t range, std::size_t sets>
constexpr auto cartesian_product()
{
std::array<std::array<int, sets>, power(range, sets)> products{};
std::array<int, sets> currentSet{};
for (auto& product : products)
{
product = currentSet;
increment(currentSet, static_cast<int>(range));
}
return products;
}
int main()
{
constexpr auto crt = cartesian_product<5, 3>();
for (auto&& ele : crt)
{
for (auto val : ele)
std::cout << val << " ";
std::cout << "\n";
}
return 0;
}
关于c++ - 编译时多个集合的笛卡尔积,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/60580444/