std::uniform_int_distribution class in C++

// C++ code to demonstrate the working of
// operator() function

#include <iostream>

// for uniform_int_distribution function
#include <random>

using namespace std;

int main()
{
    // Here default_random_engine object
    // is used as source of randomness
    // We can give seed also to default_random_engine
    // if psuedorandom numbers are required
    default_random_engine generator;

    int a = 0, b = 9;

    // Initializing of uniform_int_distribution class
    uniform_int_distribution<int> distribution(a, b);

    // number of experiments
    const int num_of_exp = 10000;

    int n = b - a + 1;
    int p[n] = {};
    for (int i = 0; i < num_of_exp; ++i) {

        // using operator() function
        // to give random values
        int number = distribution(generator);
        ++p[number-a];
    }

    cout << "Expected probability: "
         << float(1) / float(n) << endl;

    cout << "uniform_int_distribution ("
         << a << ", " << b << ")" << endl;

    // Displaying the probability of each number
    // after generating values 10000 times.
    for (int i = 0; i < n; ++i)
        cout << a + i << ": "
             << (float)p[i] / (float)(num_of_exp)
             << endl;

    return 0;
}

// C++ code to demonstrate the working of
// a(), b(), min(), max(), reset() function

#include <iostream>

// for uniform_int_distribution function
#include <random>

using namespace std;

int main()
{
    int a = 10, b = 100;

    // Initializing of uniform_int_distribution class
    uniform_int_distribution<int> distribution(a, b);

    // Using a() and b()
    cout << "Lower Bound"
         << " " << distribution.a() << endl;
    cout << "Upper Bound"
         << " " << distribution.b() << endl;

    // Using min() and max()
    cout << "Minimum possible output"
         << " " << distribution.min() << endl;
    cout << "Maximum possible output"
         << " " << distribution.max() << endl;

    // Using reset()
    distribution.reset();
    return 0;
}