I have a function which fills a container with random values between min and max using uniform distribution.
#include <iostream>
#include <random>
#include <algorithm>
#include <vector>
template<typename TContainer>
void uniform_random(TContainer& container, 
const typename TContainer::value_type min, 
const typename TContainer::value_type max) {
    std::random_device rd;
    std::mt19937 gen(rd());
    // Below line does not work with integers container
    std::uniform_real_distribution<typename TContainer::value_type> distribution(min, max);
    auto lambda_norm_dist = [&](){ return distribution(gen); };
    std::generate(container.begin(), container.end(), lambda_norm_dist);
}
int main() {
    std::vector<float> a(10);
    uniform_random(a,0,10);
    for (auto el : a) { std::cout << el << " "; }
}
Replacing std::vector<float> with std::vector<int> does not work since I would have to use std::uniform_int_distribution instead.
Is there a simple and elegant way to pick the right constructor depending on the value_type parameter ?
I was trying so far to use std::numeric_limits<typename TContainer::value_type>::is_integer without success.
In C++14 (or C++11 with a minor change) you can create a uniform_distribution type alias in this way:
template <typename ValueType>
using uniform_distribution = std::conditional_t<
    std::is_floating_point<ValueType>::value,
    std::uniform_real_distribution<ValueType>,
    std::uniform_int_distribution<ValueType>
 >;
Usage:
uniform_distribution<typename TContainer::value_type> distribution(min, max);
                        Write a meta-function select_distribution which allows you to write this:
using value_type = typename TContainer::value_type;
using distribution_type = typename select_distribution<value_type>::type;
distribution_type  distribution(min, max);
where select_distribution is defined as:
template<typename T, bool = std::is_floating_point<T>::value>   
struct select_distribution
{
  using type = std::uniform_real_distribution<T>;
};
template<typename T>   
struct select_distribution<T, false>
{
  using type = std::uniform_int_distribution<T>;
};
Hope that helps.
One solution is to use a type trait helper and std::enable_if:
template<class T, class Enable = void>
struct uniform_distribution_helper {};
template<class T>
struct uniform_distribution_helper<T, typename std::enable_if<std::is_floating_point<T>::value >::type> {
    using type = std::uniform_real_distribution<T>;
};
template<class T>
struct uniform_distribution_helper<T, typename  std::enable_if<std::is_integral<T>::value >::type> {
    using type = std::uniform_int_distribution<T>;
};
Then in your function:
using uniform_distribution = typename uniform_distribution_helper<typename TContainer::value_type>::type;
// Below line does not work with integers container
uniform_distribution distribution(min, max);
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