#include <stdlib.h>
#include <stdio.h>
#include <math.h>

#define N_FEATURES 6
#define N_CLASSES 4
#define N_VECTORS 123
#define N_ROWS 4
#define N_COEFFICIENTS 3
#define N_INTERCEPTS 6
#define KERNEL_TYPE 'l'
#define KERNEL_GAMMA 0.02
#define KERNEL_COEF 0.0
#define KERNEL_DEGREE 3

double vectors[123][6] = {{10.0, 37.0, 173.0, 168.0, 132.0, 134.0}, {10.0, 35.0, 171.0, 166.0, 132.0, 134.0}, {9.0, 37.0, 153.0, 149.0, 132.0, 133.0}, {7.0, 37.0, 138.0, 135.0, 133.0, 132.0}, {18.0, 36.0, 238.0, 230.0, 128.0, 140.0}, {11.0, 53.0, 173.0, 163.0, 134.0, 138.0}, {10.0, 34.0, 167.0, 163.0, 132.0, 134.0}, {19.0, 34.0, 217.0, 212.0, 129.0, 138.0}, {18.0, 45.0, 221.0, 213.0, 129.0, 142.0}, {11.0, 49.0, 167.0, 160.0, 133.0, 137.0}, {11.0, 49.0, 178.0, 168.0, 133.0, 137.0}, {10.0, 45.0, 164.0, 157.0, 133.0, 136.0}, {20.0, 47.0, 231.0, 222.0, 128.0, 144.0}, {21.0, 40.0, 249.0, 240.0, 127.0, 142.0}, {10.0, 34.0, 175.0, 170.0, 132.0, 134.0}, {20.0, 21.0, 242.0, 239.0, 128.0, 135.0}, {9.0, 26.0, 175.0, 173.0, 131.0, 132.0}, {7.0, 37.0, 142.0, 139.0, 133.0, 133.0}, {11.0, 46.0, 166.0, 159.0, 133.0, 136.0}, {20.0, 38.0, 235.0, 228.0, 128.0, 141.0}, {10.0, 35.0, 171.0, 166.0, 132.0, 134.0}, {20.0, 42.0, 230.0, 222.0, 128.0, 142.0}, {19.0, 45.0, 228.0, 220.0, 128.0, 142.0}, {13.0, 21.0, 213.0, 210.0, 130.0, 133.0}, {11.0, 34.0, 172.0, 168.0, 131.0, 134.0}, {20.0, 36.0, 233.0, 227.0, 128.0, 140.0}, {8.0, 37.0, 151.0, 146.0, 133.0, 133.0}, {18.0, 41.0, 218.0, 211.0, 129.0, 140.0}, {19.0, 47.0, 227.0, 218.0, 128.0, 143.0}, {27.0, 41.0, 226.0, 224.0, 124.0, 145.0}, {9.0, 39.0, 170.0, 164.0, 132.0, 134.0}, {9.0, 36.0, 170.0, 165.0, 132.0, 134.0}, {20.0, 35.0, 235.0, 228.0, 128.0, 140.0}, {0.0, 0.0, 223.0, 226.0, 128.0, 128.0}, {19.0, 45.0, 229.0, 221.0, 128.0, 143.0}, {11.0, 52.0, 172.0, 162.0, 134.0, 138.0}, {11.0, 40.0, 138.0, 135.0, 132.0, 134.0}, {14.0, 25.0, 209.0, 205.0, 130.0, 134.0}, {20.0, 37.0, 237.0, 230.0, 128.0, 140.0}, {7.0, 37.0, 155.0, 150.0, 133.0, 133.0}, {21.0, 33.0, 249.0, 242.0, 127.0, 140.0}, {9.0, 36.0, 170.0, 165.0, 132.0, 134.0}, {10.0, 36.0, 171.0, 166.0, 132.0, 134.0}, {11.0, 34.0, 171.0, 167.0, 131.0, 134.0}, {10.0, 51.0, 172.0, 162.0, 134.0, 137.0}, {9.0, 35.0, 169.0, 164.0, 132.0, 134.0}, {18.0, 42.0, 215.0, 209.0, 129.0, 141.0}, {11.0, 50.0, 176.0, 166.0, 133.0, 138.0}, {19.0, 35.0, 218.0, 213.0, 129.0, 139.0}, {8.0, 36.0, 150.0, 146.0, 132.0, 133.0}, {13.0, 21.0, 213.0, 210.0, 130.0, 133.0}, {9.0, 36.0, 170.0, 165.0, 132.0, 134.0}, {18.0, 34.0, 218.0, 213.0, 129.0, 138.0}, {10.0, 52.0, 172.0, 162.0, 134.0, 137.0}, {10.0, 34.0, 174.0, 170.0, 132.0, 134.0}, {11.0, 40.0, 175.0, 169.0, 132.0, 135.0}, {13.0, 37.0, 194.0, 188.0, 131.0, 137.0}, {13.0, 39.0, 189.0, 183.0, 131.0, 137.0}, {13.0, 34.0, 191.0, 186.0, 131.0, 135.0}, {12.0, 43.0, 174.0, 167.0, 132.0, 137.0}, {12.0, 36.0, 191.0, 185.0, 131.0, 136.0}, {14.0, 32.0, 210.0, 204.0, 130.0, 135.0}, {16.0, 53.0, 205.0, 196.0, 130.0, 143.0}, {12.0, 36.0, 191.0, 185.0, 131.0, 135.0}, {16.0, 51.0, 209.0, 199.0, 130.0, 142.0}, {10.0, 42.0, 170.0, 164.0, 133.0, 135.0}, {13.0, 38.0, 196.0, 189.0, 131.0, 136.0}, {12.0, 35.0, 191.0, 185.0, 131.0, 135.0}, {13.0, 41.0, 189.0, 182.0, 131.0, 137.0}, {14.0, 44.0, 177.0, 172.0, 131.0, 138.0}, {16.0, 37.0, 201.0, 196.0, 130.0, 137.0}, {14.0, 39.0, 190.0, 184.0, 131.0, 137.0}, {17.0, 52.0, 206.0, 197.0, 130.0, 143.0}, {13.0, 38.0, 191.0, 185.0, 131.0, 136.0}, {14.0, 34.0, 201.0, 195.0, 130.0, 136.0}, {13.0, 37.0, 190.0, 184.0, 131.0, 136.0}, {13.0, 41.0, 186.0, 180.0, 131.0, 137.0}, {10.0, 31.0, 189.0, 184.0, 131.0, 134.0}, {13.0, 34.0, 188.0, 184.0, 131.0, 135.0}, {12.0, 35.0, 193.0, 188.0, 131.0, 136.0}, {14.0, 34.0, 188.0, 184.0, 130.0, 136.0}, {12.0, 33.0, 194.0, 188.0, 131.0, 135.0}, {15.0, 42.0, 191.0, 185.0, 130.0, 138.0}, {14.0, 37.0, 199.0, 192.0, 131.0, 137.0}, {14.0, 33.0, 206.0, 200.0, 130.0, 136.0}, {12.0, 43.0, 180.0, 173.0, 132.0, 137.0}, {13.0, 36.0, 191.0, 186.0, 131.0, 136.0}, {16.0, 37.0, 202.0, 196.0, 130.0, 137.0}, {12.0, 33.0, 190.0, 184.0, 131.0, 135.0}, {11.0, 33.0, 183.0, 178.0, 131.0, 134.0}, {12.0, 37.0, 192.0, 186.0, 131.0, 136.0}, {13.0, 32.0, 200.0, 195.0, 131.0, 135.0}, {17.0, 53.0, 205.0, 196.0, 130.0, 143.0}, {11.0, 34.0, 178.0, 174.0, 131.0, 134.0}, {12.0, 34.0, 191.0, 186.0, 131.0, 135.0}, {8.0, 48.0, 203.0, 188.0, 136.0, 137.0}, {10.0, 31.0, 184.0, 179.0, 131.0, 134.0}, {12.0, 35.0, 197.0, 191.0, 131.0, 135.0}, {14.0, 36.0, 196.0, 190.0, 131.0, 137.0}, {12.0, 32.0, 180.0, 176.0, 131.0, 134.0}, {13.0, 38.0, 196.0, 190.0, 131.0, 137.0}, {12.0, 38.0, 189.0, 182.0, 131.0, 136.0}, {13.0, 41.0, 184.0, 178.0, 131.0, 137.0}, {17.0, 52.0, 206.0, 197.0, 130.0, 143.0}, {13.0, 37.0, 189.0, 183.0, 131.0, 136.0}, {13.0, 44.0, 182.0, 175.0, 132.0, 137.0}, {12.0, 34.0, 190.0, 184.0, 131.0, 135.0}, {5.0, 52.0, 195.0, 172.0, 142.0, 133.0}, {178.0, 39.0, 182.0, 169.0, 138.0, 131.0}, {177.0, 49.0, 150.0, 137.0, 139.0, 131.0}, {5.0, 56.0, 160.0, 145.0, 138.0, 135.0}, {175.0, 54.0, 153.0, 137.0, 142.0, 130.0}, {8.0, 58.0, 215.0, 194.0, 138.0, 139.0}, {0.0, 53.0, 190.0, 168.0, 143.0, 134.0}, {134.0, 54.0, 190.0, 168.0, 143.0, 133.0}, {5.0, 42.0, 191.0, 178.0, 136.0, 134.0}, {3.0, 41.0, 183.0, 170.0, 136.0, 133.0}, {6.0, 62.0, 200.0, 178.0, 140.0, 138.0}, {6.0, 54.0, 178.0, 163.0, 137.0, 136.0}, {173.0, 53.0, 167.0, 149.0, 142.0, 129.0}, {177.0, 56.0, 162.0, 144.0, 142.0, 131.0}, {89.0, 52.0, 185.0, 164.0, 142.0, 132.0}, {65.0, 56.0, 183.0, 162.0, 143.0, 133.0}};
double coefficients[3][123] = {{1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9716827715061618, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.6667756371166391, 1.0, 1.0, 1.0, 0.0, 1.0, 1.0, 1.0, 0.24322508243673882, 1.0, 1.0, 0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.15375359197996077, 1.0, 1.0, 0.19761592064765218, 1.0, 0.4632830566327337, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -0.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -0.6963360603198887, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -0.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -0.0, -0.0, -0.002375014975204716, -0.017919312892936287, -0.0, -0.0, -0.0, -0.0, -0.0, -0.016952164233451018, -0.0, -0.04756189131952942, -0.0, -0.0, -0.0, -0.0006992349593536536}, {0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.02676657839945455, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.05804180502166685, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0643191768049149, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.3714406101740961, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.0, -0.005642496651301463, -0.0, -0.0, -0.0, -0.14608356438499645, -0.0, -0.0, -0.2840337259427125, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0006591113864912571}, {0.0, 0.0, 0.0, 0.0, 0.0, 0.0001911164609440949, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.00024353373404999634, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.00026458476435956257, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0005914158022917513, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 6.769558419950571e-05, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.5367543692934408, 0.0, 0.0, 0.0, 1.0, 0.0, 0.1881385664244497, 0.7767465480955688, 0.0, 0.0, 0.21115136958484806, 0.0, -0.1259823349395935, -0.6168327790869625, -1.0, -0.9699757393717575}};
double intercepts[6] = {135.44946084187507, 19.061780278345406, 1.7400393672676422, -19.356133000309267, 1.28390685777037, -36.177967480292565};
int weights[4] = {55, 52, 12, 4};

int predict (double features[]) {
    int i, j, k, d, l;

    double kernels[N_VECTORS];
    double kernel;
    switch (KERNEL_TYPE) {
        case 'l':
            // <x,x'>
            for (i = 0; i < N_VECTORS; i++) {
                kernel = 0.;
                for (j = 0; j < N_FEATURES; j++) {
                    kernel += vectors[i][j] * features[j];
                }
                kernels[i] = kernel;
            }
            break;
        case 'p':
            // (y<x,x'>+r)^d
            for (i = 0; i < N_VECTORS; i++) {
                kernel = 0.;
                for (j = 0; j < N_FEATURES; j++) {
                    kernel += vectors[i][j] * features[j];
                }
                kernels[i] = pow((KERNEL_GAMMA * kernel) + KERNEL_COEF, KERNEL_DEGREE);
            }
            break;
        case 'r':
            // exp(-y|x-x'|^2)
            for (i = 0; i < N_VECTORS; i++) {
                kernel = 0.;
                for (j = 0; j < N_FEATURES; j++) {
                    kernel += pow(vectors[i][j] - features[j], 2);
                }
                kernels[i] = exp(-KERNEL_GAMMA * kernel);
            }
            break;
        case 's':
            // tanh(y<x,x'>+r)
            for (i = 0; i < N_VECTORS; i++) {
                kernel = 0.;
                for (j = 0; j < N_FEATURES; j++) {
                    kernel += vectors[i][j] * features[j];
                }
                kernels[i] = tanh((KERNEL_GAMMA * kernel) + KERNEL_COEF);
            }
            break;
    }

    int starts[N_ROWS];
    int start;
    for (i = 0; i < N_ROWS; i++) {
        if (i != 0) {
            start = 0;
            for (j = 0; j < i; j++) {
                start += weights[j];
            }
            starts[i] = start;
        } else {
            starts[0] = 0;
        }
    }

    int ends[N_ROWS];
    for (i = 0; i < N_ROWS; i++) {
        ends[i] = weights[i] + starts[i];
    }

    if (N_CLASSES == 2) {

        for (i = 0; i < N_VECTORS; i++) {
            kernels[i] = -kernels[i];
        }

        double decision = 0.;
        for (k = starts[1]; k < ends[1]; k++) {
            decision += kernels[k] * coefficients[0][k];
        }
        for (k = starts[0]; k < ends[0]; k++) {
            decision += kernels[k] * coefficients[0][k];
        }
        decision += intercepts[0];

        if (decision > 0) {
            return 0;
        }
        return 1;

    }

    double decisions[N_INTERCEPTS];
    double tmp;
    for (i = 0, d = 0, l = N_ROWS; i < l; i++) {
        for (j = i + 1; j < l; j++) {
            tmp = 0.;
            for (k = starts[j]; k < ends[j]; k++) {
                tmp += kernels[k] * coefficients[i][k];
            }
            for (k = starts[i]; k < ends[i]; k++) {
                tmp += kernels[k] * coefficients[j - 1][k];
            }
            decisions[d] = tmp + intercepts[d];
            d = d + 1;
        }
    }

    int votes[N_INTERCEPTS];
    for (i = 0, d = 0, l = N_ROWS; i < l; i++) {
        for (j = i + 1; j < l; j++) {
            votes[d] = decisions[d] > 0 ? i : j;
            d = d + 1;
        }
    }

    int amounts[N_CLASSES];
    for (i = 0, l = N_CLASSES; i < l; i++) {
        amounts[i] = 0;
    }
    for (i = 0; i < N_INTERCEPTS; i++) {
        amounts[votes[i]] += 1;
    }

    int classVal = -1;
    int classIdx = -1;
    for (i = 0; i < N_CLASSES; i++) {
        if (amounts[i] > classVal) {
            classVal = amounts[i];
            classIdx= i;
        }
    }
    return classIdx;

}

int main(int argc, const char * argv[]) {

    /* Features: */
    double features[argc-1];
    int i;
    for (i = 1; i < argc; i++) {
        features[i-1] = atof(argv[i]);
    }

    /* Prediction: */
    printf("%d", predict(features));
    return 0;

}