std::vector<double> c = {0.806,0.517,0.1,0.908,0.965,0.669,0.524,0.902,0.351,0.876,0.462,
                         0.491,0.463,0.741,0.352,0.869,0.813,0.811,0.0828,0.964,0.789,0.360,0.369,
                         0.992,0.332,0.817,0.632,0.883,0.608,0.326};

double a[][10] =
        {
                {9.681,0.667,4.783,9.095,3.517,9.325,6.544,0.211,5.122,2.02},
                {9.4,2.041,3.788,7.931,2.882,2.672,3.568,1.284,7.033,7.374},
                {8.025,9.152,5.114,7.621,4.564,4.711,2.996,6.126,0.734,4.982},
                {2.196,0.415,5.649,6.979,9.510,9.166,6.304,6.054,9.377,1.426},
                {8.074,8.777,3.467,1.863,6.708,6.349,4.534,0.276,7.633,1.567},
                {7.650,5.658,0.720,2.764,3.278,5.283,7.474,6.274,1.409,8.208},
                {1.256,3.605,8.623,6.905,4.584,8.133,6.071,6.888,4.187,5.448},
                {8.314,2.261,4.24,1.781,4.124,0.932,8.129,8.658,1.208,5.762},
                {0.226,8.858,1.42,0.954,1.622,4.698,6.228,9.096,0.972,7.637},
                {7.305,2.228,1.242,5.928,9.133,1.826,4.06,5.204,8.713,8.247},
                {0.652,7.027,0.508,4.876,8.807,4.632,5.808,6.937,3.291,7.016},
                {2.699,3.516,5.847,4.119,4.461,7.496,8.817,0.69,6.593,9.789},
                {8.327,3.897,2.017,9.57,9.825,1.15,1.395,3.885,6.354,0.109},
                {2.132,7.006,7.136,2.641,1.882,5.943,7.273,7.691,2.88,0.564},
                {4.707,5.579,4.08,0.581,9.698,8.542,8.077,8.515,9.231,4.67},
                {8.304,7.559,8.567,0.322,7.128,8.392,1.472,8.524,2.277,7.826},
                {8.632,4.409,4.832,5.768,7.05,6.715,1.711,4.323,4.405,4.591},
                {4.887,9.112,0.17,8.967,9.693,9.867,7.508,7.77,8.382,6.74},
                {2.44,6.686,4.299,1.007,7.008,1.427,9.398,8.48,9.95,1.675},
                {6.306,8.583,6.084,1.138,4.350,3.134,7.853,6.061,7.457,2.258},
                {0.652,2.343,1.37,0.821,1.31,1.063,0.689,8.819,8.833,9.07},
                {5.558,1.272,5.756,9.857,2.279,2.764,1.284,1.677,1.244,1.234},
                {3.352,7.549,9.817,9.437,8.687,4.167,2.57,6.54,0.228,0.027},
                {8.798,0.88,2.37,0.168,1.701,3.68,1.231,2.39,2.499,0.064},
                {1.46,8.057,1.337,7.217,7.914,3.615,9.981,9.198,5.292,1.224},
                {0.432,8.645,8.774,0.249,8.081,7.461,4.416,0.652,4.002,4.644},
                {0.679,2.8,5.523,3.049,2.968,7.225,6.73,4.199,9.614,9.229},
                {4.263,1.074,7.286,5.599,8.291,5.2,9.214,8.272,4.398,4.506},
                {9.496,4.83,3.15,8.27,5.079,1.231,5.731,9.494,1.883,9.732},
                {4.138,2.562,2.532,9.661,5.611,5.5,6.886,2.341,9.699,6.5}
        };

double schwefel(std::vector<double> input){

    int upper_bound = 512;
    int lower_bound = -512;

    double sum = 0;

    for (int i = 0; i < input.size(); i++){
        sum += (-input[i]) * std::sin(std::sqrt(std::abs(input[i])));
    }

    return sum;
}

double first_de_jong(std::vector<double> input){

    int upper_bound = 100;
    int lower_bound = -100;

    double sum = 0;

    for (int i = 0; i < input.size(); i++){
        sum += std::pow(input[i], 2);
    }

    return sum;
}

double rosenbrock(std::vector<double> input){

    int upper_bound = 100;
    int lower_bound = -100;

    double sum = 0;

    for (int i = 0; i < input.size() - 1; i++){
        sum += 100 * std::pow((std::pow(input[i], 2) - input[i + 1]), 2) + std::pow((1 - input[i]), 2);
    }

    return sum;

}

double rastrigin(std::vector<double> input){

    int upper_bound = 30;
    int lower_bound = -30;

    double sum = 0;

    for (int i = 0; i < input.size(); i++){
        sum += std::pow(input[i], 2) - 10 * std::cos(2 * M_PI * input[i]);
    }

    sum *= 2 * input.size();

    return sum;

}

double griewangk(std::vector<double> input){

    int upper_bound = 500;
    int lower_bound = -500;

    double sum = 0;

    for (int i = 0; i < input.size(); i++){
        sum += std::pow(input[i], 2) / 4000;
    }

    double product = 1;

    for (int i = 0; i < input.size(); i++){
        product *= std::cos(input[i] / sqrt(i + 1));
    }

    return 1 + sum - product;

}

double sine_envelope_sine_wave(std::vector<double> input){

    int upper_bound = 30;
    int lower_bound = -30;

    double sum = 0;

    for (int i = 0; i < input.size() - 1; i++){
        sum += 0.5 + (std::pow(std::sin(std::pow(input[i], 2) + std::pow(input[i + 1], 2) - 0.5), 2)) /
                     (1 + 0.001 * (std::pow(input[i], 2) + std::pow(input[i + 1], 2)));
    }

    return sum;
}

double stretched_v_sine_wave(std::vector<double> input){

    int upper_bound = 30;
    int lower_bound = -30;

    double sum = 0;

    for (int i = 0; i < input.size() - 1; i++){
        sum += std::pow(std::pow(input[i], 2) + std::pow(input[i + 1], 2), 1.0 / 4) *
               std::pow(std::sin(50 * std::pow(std::pow(input[i], 2) + std::pow(input[i + 1], 2), 1.0 / 10)), 2) + 1;
    }

    return sum;

}

double ackleys_one(std::vector<double> input){

    int upper_bound = 32;
    int lower_bound = -32;

    double sum = 0;

    for (int i = 0; i < input.size() - 1; i++){
        sum += (1.0 / pow(M_E, 0.2)) *
               std::sqrt(std::pow(input[i], 2) + std::pow(input[i + 1], 2)) +
               3 * std::cos(2 * input[i]) +
               std::sin(2 * input[i + 1]);
    }

    return sum;

}

double ackleys_two(std::vector<double> input){

    int upper_bound = 32;
    int lower_bound = -32;

    double sum = 0;

    for (int i = 0; i < input.size() - 1; i++){
        sum += 20 + M_E -
               (20 / (std::pow(M_E, 0.2) * std::sqrt(((std::pow(input[i], 2) + std::pow(input[i+1], 2) + 1) / 2)))) -
               std::pow(M_E, 0.5 * std::cos(2 * M_PI * input[i]) + cos(2 * M_PI * input[i + 1]));
    }

    return sum;
}

double egg_holder(std::vector<double> input){

    int upper_bound = 500;
    int lower_bound = -500;

    double sum = 0;

    for (int i = 0; i < input.size() - 1; i++) {
        sum += -input[i] * std::sin(std::sqrt(abs(input[i] - input[i + 1] - 47))) -
               (input[i + 1] + 47) * std::sin(std::sqrt(std::abs(input[i + 1] + 47 + input[i] / 2)));
    }

    return sum;
}

double rana(std::vector<double> input){

    int upper_bound = 500;
    int lower_bound = -500;

    double sum = 0;

    for (int i = 0; i < input.size() - 1; i++) {
        sum += input[i] * std::sin(std::sqrt(std::abs(input[i + 1] - input[i] + 1))) *
               std::cos(std::sqrt(std::abs(input[i + 1] + input[i] + 1))) +
               (input[i + 1] + 1) *
               std::cos(std::sqrt(std::abs(input[i + 1] - input[i] + 1))) *
               std::sin(std::sqrt(std::abs(input[i + 1] + input[i] + 1)));
    }

    return sum;
}

double pathological(std::vector<double> input){

    int upper_bound = 100;
    int lower_bound = -100;

    double sum = 0;

    for (int i = 0; i < input.size() - 1; i++) {
        sum += 0.5 +
               (std::pow(std::sin(std::sqrt(100 * std::pow(input[i], 2) + std::pow(input[i + 1], 2))), 2) - 0.5) /
               (1 + 0.001 * std::pow(std::pow(input[i], 2) - 2 * input[i] * input[i + 1] + std::pow(input[i + 1], 2), 2));
    }

    return sum;
}

double michalewicz(std::vector<double> input){

    int upper_bound = M_PI;
    int lower_bound = 0;

    double sum = 0;

    for (int i = 0; i < input.size() - 1; i++) {
        sum += std::sin(input[i]) * std::pow(std::sin(i * std::pow(input[i], 2) / M_PI), 20);
    }

    return -sum;
}

double masters_cosine_wave(std::vector<double> input){

    int upper_bound = 30;
    int lower_bound = -30;

    double sum = 0;

    for (int i = 0; i < input.size() - 1; i++) {
        sum += std::pow(M_E, -(1/8) * (std::pow(input[i], 2) + std::pow(input[i + 1], 2) + 0.5 * input[i + 1] * input[i])) *
               std::cos(4 * std::sqrt(std::pow(input[i], 2) + std::pow(input[i + 1], 2) + 0.5 * input[i] * input[i + 1]));
    }
    return -sum;
}

double shekels_foxholes(std::vector<double> input){

    int upper_bound = 10;
    int lower_bound = 0;

    double sum = 0;

    for (int i = 0; i < c.size() - 1; i++) {

        double bottom_sum = 0;

        for (int q = 0; q < input.size(); q++){
            bottom_sum = std::pow(input.at(q) - a[i][q], 2);
        }

        sum += 1 / (bottom_sum + c[i]);
    }

    return -sum;
}

double set_within(double val, double prior_upper, double prior_lower, double after_upper, double after_lower){
    return ((after_upper - after_lower) * (val - prior_lower) / (prior_upper - prior_lower)) + after_lower;
}

struct function {

    double (*function_pointer)(std::vector<double>);

    double range = 0;
    double upper_bound = 0;
    double lower_bound = 0;

    timer t;

    function(){};

    function(double (*func)(std::vector<double>), double upper_bound, double lower_bound) {
        function_pointer = func;
        this->upper_bound = upper_bound;
        this->lower_bound = lower_bound;
    }

    double compute(std::vector<double> input) {

        for (auto v: input) {
            if (v <= lower_bound && v >= upper_bound) {
                std::cout << "Function exceeded bounds";
                return 0;
            }
        }

        double res = function_pointer(input);
        return res;

    };

//    enum Test_Data {
//        MEAN, MEDIAN, DEVIATION, AVG_TIME, DIMENSIONALIY, UPPER_RANGE, LOWER_RANGE
//    };
//
//    std::vector<double> random_walk(int dimensionality, int permutations){
//
//        MTRand rng();
//
//        std::vector<double> times;
//        std::vector<double> vals;
//
//        double best_value = 99999999999;
//
//        t.start();
//
//        for (int i = 0; i < permutations; i++) {
//
//            std::vector<double> dimension_vals;
//
//            for (int i = 0; i < dimensionality; i++) {
//                dimension_vals.push_back(fmod(rand(), (upper_bound * 2)) + lower_bound);
//            }
//
//
//            double res = compute(dimension_vals);
//            if (res < best_value){
//                best_value = res;
//            }
//        }
//
//        vals.push_back(best_value);
//
//        t.end();
//
//        times.push_back(t.duration());
//
//        // Mean
//        double mean = 0;
//        for (double v: vals) {
//            mean += v;
//        }
//        mean /= vals.size();
//
//        // Median
//        double median = vals[std::floor(vals.size() / 2)];
//
//        // Standard Deviation
//        double sum = 0;
//        for (double v: vals) {
//            sum += std::pow(v - mean, 2);
//        }
//        double deviation = std::sqrt(sum / vals.size());
//
//        // Time Mean
//        double time_mean = 0;
//        for (double v: times) {
//            time_mean += v;
//        }
//        time_mean /= times.size();
//
//        // Range
//        std::sort(vals.begin(), vals.end());
//
//        double lower_range = vals.front();
//        double upper_range = vals.back();
//
//        std::map<Test_Data, double> ret;
//
//        ret[Test_Data::DIMENSIONALIY] = dimensionality;
//        ret[Test_Data::AVG_TIME] = time_mean;
//        ret[Test_Data::DEVIATION] = deviation;
//        ret[Test_Data::MEAN] = mean;
//        ret[Test_Data::MEDIAN] = median;
//        ret[Test_Data::UPPER_RANGE] = upper_range;
//        ret[Test_Data::LOWER_RANGE] = lower_range;
//
//        // std::cout << " & " << dimensionality << " & " << mean << " & " << median << " & " << deviation << " & "
//        //           << time_mean << " \\\\ \\hline" << std::endl;
//
//        return ret;
//    };

};