如何在编译时推断出类型或对元素?我需要它来根据参数类型做出正确的实例(例如对于Integer_random_generator,那些可能是long,int,unsigned int等,对于real_random_generator double,float和其他浮点)。我需要制作具有特定界限的发电机,如您在注释掉的第63-77行中所见。
#ifndef OPTIMALIZATION_HPP
#define OPTIMALIZATION_HPP
#include<utility>
#include<random>
#include<experimental/random>
#include<functional>
#include<experimental/functional>
#include<experimental/tuple>
#include<algorithm>
#include<type_traits>
#include<iostream>
#include"tuple_for_each.hpp"
//ZNAJDZ/ZROB INDEKSOWANY DOSTEP DO TUPLI W CZASIE RUN-TIME'U
namespace numerics{
template<
std::size_t population_size, std::size_t generations,
typename Func,
typename Compare, //GREATER, LESS, TYPE RETURNED BY FUNCTION
typename Generator=std::default_random_engine,
template<typename>
typename RealDistribution=std::uniform_real_distribution,
template<typename>
typename IntegerDistribution=std::uniform_int_distribution,
typename ...Ts
>
auto optimize(
const Func& function, const Compare& comp,
const std::pair<Ts,Ts>&... range
){
std::size_t range_argument_count=sizeof...(range);
static_assert(range_argument_count>2,
"Function needs at least two range arguments"
);
//RANDOM NUMBER GENERATORS
auto real_random_generator=[&](const std::pair<auto,auto> range){
std::cout << "DOUBLE" << std::endl;
return std::bind(
RealDistribution<long double>(range.first,range.second),
//RealDistribution<decltype(range.first)>(range.first,range.second);
//HOW TO DEDUCE TYPE OF DISTRIBUTION FROM PAIR DURING COMPILE-TIME???
Generator()
);
};
auto integer_random_generator=[&](const std::pair<auto,auto>& range){
std::cout << "INTEGER" << std::endl;
return std::bind(
IntegerDistribution<long long>(range.first,range.second),
//IntegerDistribution<decltype(range.first)>(range.first,range.second);
//HOW TO DEDUCE TYPE OF DISTRIBUTION FROM PAIR DURING COMPILE-TIME???
Generator()
);
};
std::cout << integer_random_generator(std::get<0>(std::make_tuple(range...)))() << std::endl;
std::cout << real_random_generator(std::get<1>(std::make_tuple(range...)))()<<std::endl;
std::cout << integer_random_generator(std::get<2>(std::make_tuple(range...)))()<<std::endl;
//GENERATORS DEPENDING ON TYPE, USED THROUGH WHOLE PROGRAM
/*std::tuple<> generators;
numerics::for_each(std::make_tuple(range...), [&](std::pair<auto,auto>& x){ //FOR_EACH SPRAWDZENIA
try{
generators=std::tuple_cat(
generators,
std::make_tuple(integer_random_generator(x.first)));
}
catch(...){
generators=std::tuple_cat(
generators,
std::make_tuple(real_random_generator(x.first)));
}
}
);*/
return "pls work";
}
}
#endif
测试用例:
#include<utility>
#include<iostream>
#include"optimize.hpp"
class Function{
public:
Function()=default;
double operator()(int x, double y, long z)const{
return (std::exp(x+1.25)*std::pow(y,z))/std::exp((x*y)/z);
}
};
int main(){
Function f{};
auto comp=std::less<double>();
auto x=numerics::optimize<100, 200>(
f, comp,
std::make_pair(-21, 37),
std::make_pair(14.88, 88.41),
std::make_pair(-13, 37)
);
std::cout << x << std::endl;
}
答案 0 :(得分:2)
编写辅助函数以确定是生成实数还是整数生成器。在这种情况下,它将基于范围中第一个参数的类型。我将留给您确定如何检查第二个参数。 (我还没有测试过这段代码,但我确信这个想法很有效。)
template <class Range>
auto get_distribution(Range range, std::true_type)
{
return real_random_generator(range);
}
template <class Range>
auto get_distribution(Range range, std::false_type)
{
return integer_random_generator(range);
}
只需使用包扩展语法在每个范围内调用辅助函数
auto generators = std::make_tuple(get_distribution(ranges,
std::is_floating_point<decltype(ranges.first)>{})...);
std::is_floating_point
决定了为每个范围调用哪个重载。
如果您喜欢棘手但更简洁的代码,可以尝试一下:
auto fs = std::make_tuple(integer_random_generator, real_random_generator);
auto generator = std::make_tuple(std::get<std::is_floating_point<decltype(ranges.first)>::value>(fs)(ranges)...);
构造生成器生成lambdas的元组(如果它们不是对象,这将不起作用)并使用条件作为元组的索引并立即调用它。我不主张使用它,但我想我会分享它。