Using the generator for multiple distributions

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The random number generator can (and should) be used for multiple distributions.

#include <iostream>
#include <random>

int main()
{
   std::default_random_engine pseudo_random_generator;
   std::uniform_int_distribution<int> int_distribution(0, 9);
   std::uniform_real_distribution<float> float_distribution(0.0, 1.0);
   std::discrete_distribution<int> rigged_dice({1,1,1,1,1,100});
   
   std::cout << int_distribution(pseudo_random_generator) << std::endl;
   std::cout << float_distribution(pseudo_random_generator) << std::endl;
   std::cout << (rigged_dice(pseudo_random_generator) + 1) << std::endl;
   
   return 0;
}

In this example, only one generator is defined. It is subsequently used to generate a random value in three different distributions. The rigged_dice distribution will generate a value between 0 and 5, but almost always generates a 5, because the chance to generate a 5 is 100 / 105.

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Random numbers:
* Using the generator for multiple distributions

Table Of Contents
8 Arrays
11 Loops
39 Streams
51 Unions
56 Lambdas
60 SFINAE
62 RAII
66 Random numbers
67 Sorting
84 RTTI
87 Scopes
104 Profiling
107 Recursion
117 Iteration
125 Alignment
134 Semaphore
136 Debugging
139 Mutexes
142 decltype