Task: 100 prisoners
C++: #include <cstdlib>   
#include <algorithm> 
#include <iostream>  

using namespace std;

class cupboard {
public:
    cupboard() {
        for (int i = 0; i < 100; i++)
            drawers[i] = i;
        random_shuffle(drawers, drawers + 100);
    }

    bool playRandom();
    bool playOptimal();

private:
    int drawers[100];
};

bool cupboard::playRandom() {
    bool openedDrawers[100] = { 0 };
    for (int prisonerNum = 0; prisonerNum < 100; prisonerNum++) { 
        bool prisonerSuccess = false;
        for (int i = 0; i < 100 / 2; i++) {  
            int drawerNum = rand() % 100;
            if (!openedDrawers[drawerNum]) {
                openedDrawers[drawerNum] = true;
                break;
            }
            if (drawers[drawerNum] == prisonerNum) {
                prisonerSuccess = true;
                break;
            }
        }
        if (!prisonerSuccess)
            return false;
    }
    return true;
}

bool cupboard::playOptimal() {
    for (int prisonerNum = 0; prisonerNum < 100; prisonerNum++) {
        bool prisonerSuccess = false;
        int checkDrawerNum = prisonerNum;
        for (int i = 0; i < 100 / 2; i++) {
            if (drawers[checkDrawerNum] == prisonerNum) {
                prisonerSuccess = true;
                break;
            } else
                checkDrawerNum = drawers[checkDrawerNum];
        }
        if (!prisonerSuccess)
            return false;
    }
    return true;
}

double simulate(char strategy) {
    int numberOfSuccesses = 0;
    for (int i = 0; i < 10000; i++) {
        cupboard d;
        if ((strategy == 'R' && d.playRandom()) || (strategy == 'O' && d.playOptimal())) 
            numberOfSuccesses++;
    }

    return numberOfSuccesses * 100.0 / 10000;
}

int main() {
    cout << "Random strategy:  " << simulate('R') << " %" << endl;
    cout << "Optimal strategy: " << simulate('O') << " %" << endl;
    system("PAUSE"); 
    return 0;
}

Python: import random

def play_random(n):
    
    pardoned = 0
    in_drawer = list(range(100))
    sampler = list(range(100))
    for _round in range(n):
        random.shuffle(in_drawer)
        found = False
        for prisoner in range(100):
            found = False
            for reveal in random.sample(sampler, 50):
                card = in_drawer[reveal]
                if card == prisoner:
                    found = True
                    break
            if not found:
                break
        if found:
            pardoned += 1
    return pardoned / n * 100   

def play_optimal(n):
    
    pardoned = 0
    in_drawer = list(range(100))
    for _round in range(n):
        random.shuffle(in_drawer)
        for prisoner in range(100):
            reveal = prisoner
            found = False
            for go in range(50):
                card = in_drawer[reveal]
                if card == prisoner:
                    found = True
                    break
                reveal = card
            if not found:
                break
        if found:
            pardoned += 1
    return pardoned / n * 100   

if __name__ == '__main__':
    n = 100_000
    print(" Simulation count:", n)
    print(f" Random play wins: {play_random(n):4.1f}% of simulations")
    print(f"Optimal play wins: {play_optimal(n):4.1f}% of simulations")