#include <iostream>
#include <random>

void uniform_int_distribution_example() {
    std::default_random_engine dre(std::random_device{}()); // 使用随机设备作为种子
    std::uniform_int_distribution<int> uid(10, 1000); // 定义均匀整数分布范围 [10, 1000]

    std::cout << "Uniform integer distribution:" << std::endl;
    for (int i = 0; i < 10; ++i) {
        int random_number = uid(dre);
        std::cout << random_number << std::endl;
    }
}

void uniform_real_distribution_example() {
    std::default_random_engine dre(std::random_device{}()); // 使用随机设备作为种子
    std::uniform_real_distribution<double> urd(0.0, 1.0); // 定义均匀实数分布范围 [0.0, 1.0]

    std::cout << "Uniform real distribution:" << std::endl;
    for (int i = 0; i < 10; ++i) {
        double random_number = urd(dre);
        std::cout << random_number << std::endl;
    }
}

void normal_distribution_example() {
    std::default_random_engine dre(std::random_device{}()); // 使用随机设备作为种子
    std::normal_distribution<double> nd(0.0, 1.0); // 定义正态分布，均值为 0，标准差为 1

    std::cout << "Normal distribution:" << std::endl;
    for (int i = 0; i < 10; ++i) {
        double random_number = nd(dre);
        std::cout << random_number << std::endl;
    }
}

void bernoulli_distribution_example() {
    std::default_random_engine dre(std::random_device{}()); // 使用随机设备作为种子
    std::bernoulli_distribution bd(0.5); // 定义伯努利分布，成功概率为 0.5

    std::cout << "Bernoulli distribution:" << std::endl;
    for (int i = 0; i < 10; ++i) {
        bool random_boolean = bd(dre);
        std::cout << (random_boolean ? "1" : "0") << std::endl;
    }
}

void poisson_distribution_example() {
    std::default_random_engine dre(std::random_device{}()); // 使用随机设备作为种子
    std::poisson_distribution<int> pd(5.0); // 定义泊松分布，均值（lambda）为 5.0

    std::cout << "Poisson distribution:" << std::endl;
    for (int i = 0; i < 10; ++i) {
        int random_number = pd(dre);
        std::cout << random_number << std::endl;
    }
}

int main() {
    uniform_int_distribution_example();
    uniform_real_distribution_example();
    normal_distribution_example();
    bernoulli_distribution_example();
    poisson_distribution_example();
    return 0;
}
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