All/C_CPP/001/my-svm/svm1.c

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

#define New(t, n) (t *)malloc((n) * sizeof(t))
#define Size 124
#define Bias 0.42954874481231037f
#define Gama 2.57e-06f
#define Feat 23

static uint8_t okay = 0;
// fill first number of each sv here
static float Scales[Size] = {
    0.15235731029950422f,0.15235731029950422f,0.19912011382534572f,0.3157460162025017f,0.19857543028072877f,0.08221876721682445f,0.0425025572971076f,0.05763072099190934f,0.13801669432617344f,0.20870653498415492f,0.11553654964471459f,0.24364322906458388f,0.057677291811556154f,0.2900227077976428f,0.12706182302655883f,0.007870701874147292f,0.16283635304047647f,0.2855170325682399f,0.15836813454062473f,0.2783568917103944f,0.17357616511163387f,0.010382572900087358f,0.1628794307594586f,0.30338470476949214f,0.13274088009122792f,0.08411386844482126f,0.2178360898124044f,0.07366067783698377f,0.15218633773641715f,0.19275719595170895f,0.018302866945317582f,0.19064839503506142f,0.08452172899199503f,0.31743985909912864f,0.28505892190713567f,0.27196597382020715f,0.028641825817987666f,0.18418037575475985f,0.08392936522816771f,0.1704040868350587f,0.09846385783138421f,0.30283315472249106f,0.35103425228032414f,0.3307143196017923f,0.08873872231394865f,0.14066098247307351f,0.01778825373363435f,0.08413861096981447f,0.23313354836561467f,0.09083118829874925f,0.22035518069302246f,0.01199539515826297f,0.20231436826391638f,0.22140590589548653f,0.021020368189327808f,0.18416101403820287f,0.016529595645652942f,0.048978932602985456f,0.0728825382695703f,0.22892526504953117f,0.21487490982549617f,0.31569073938744807f,0.21943686071547475f,0.2833454523749455f,0.2685078967728057f,0.003992407136977132f,0.18408677705627968f,0.006944536172833215f,0.23503862589652172f,0.22441255110092503f,0.17668838205575374f,0.07517108045921618f,0.11075928761395126f,0.07861082956799925f,0.1431147135810252f,0.11844488870016553f,0.04448580309492839f,0.0011530506550291276f,0.05221004624459148f,0.09870257964553575f,0.08372757008723711f,0.10505386108580722f,0.09134374315790278f,0.23403842875998865f,0.27803340343845734f,0.132850813760474f,0.06781018805488179f,0.10236788347969698f,0.17532545177261494f,0.2726659667900673f,0.07091621346565513f,0.06683643353923763f,0.1083837915775805f,0.006322662675038361f,0.014228091651108062f,0.20508847392062413f,0.06242607661373009f,0.05577163869455154f,0.0552113321825995f,0.13342715474973169f,0.24994325230424905f,0.15388886075166824f,0.12751815092430316f,0.014966168139467884f,0.028614372026208226f,0.08449253452004307f,0.0919046502528184f,0.27990597315951005f,0.22517393589134582f,0.1553856685814235f,0.140382464093383f,0.08055991372447821f,0.292808456556347f,0.2682429521511376f,0.3062592225678016f,0.02962872205153914f,0.23280488860446097f,0.228125630418083f,0.07247318407559089f,0.1512953364715955f,0.12417366254919882f,0.12720351242170702f,0.07829750951216621f,0.14592244538661808f,0.01024629760093861f
};
// fill element count of each sv here
static uint32_t Elements[Size] = {
    13,13,13,11,15,13,13,15,13,11,11,15,11,11,15,9,11,13,9,11,9,15,11,11,13,13,9,13,11,15,9,13,11,13,11,7,13,13,11,13,13,13,9,9,15,11,15,13,13,13,11,11,15,11,15,11,11,11,11,15,13,9,13,11,13,13,11,13,11,13,11,15,13,11,13,15,9,13,13,15,13,13,11,13,13,13,11,11,9,7,11,11,9,11,11,15,15,13,15,9,15,11,13,11,13,13,11,15,15,13,13,13,11,11,9,11,11,13,11,15,13,9,11,13,13
};
// fill the flattened sv weights here
static float Weights[] = {
    304.0f,304.0f,78.0f,453.0f,15.545624f,784.21297f,49.227811f,2369.3568f,82.909997f,1188.3717f,116.59218f,242.24283f,150.27437f,2056.5179f,570.0f,76.0f,658.0f,49.227811f,4179.4359f,82.909997f,785.85436f,106.22843f,564.52017f,126.95593f,553.73004f,150.27437f,1945.1428f,1704.0f,80.0f,1735.0f,49.227811f,11986.946f,98.455622f,393.19564f,126.95593f,537.94584f,150.27437f,1818.0222f,570.0f,77.0f,660.0f,15.545624f,753.84163f,49.227811f,4377.9812f,82.909997f,1047.5384f,108.81937f,236.28043f,126.95593f,393.24256f,150.27437f,2057.0622f,1731.0f,80.0f,1760.0f,25.909374f,1276.0657f,49.227811f,12828.937f,72.546248f,1175.2622f,116.59218f,413.08686f,150.27437f,1960.607f,322.0f,80.0f,470.0f,15.545624f,398.23289f,49.227811f,2488.5081f,82.909997f,1130.2811f,126.95593f,662.46112f,150.27437f,2126.8726f,1722.0f,78.0f,1751.0f,15.545624f,1058.7851f,49.227811f,12594.929f,82.909997f,786.37983f,108.81937f,341.38002f,126.95593f,317.44679f,150.27437f,1847.3802f,304.0f,77.0f,453.0f,49.227811f,2397.0027f,82.909997f,1058.6267f,106.22843f,447.36431f,126.95593f,517.72997f,150.27437f,2015.3646f,570.0f,78.0f,660.0f,49.227811f,4308.371f,82.909997f,1215.3645f,116.59218f,325.49289f,150.27437f,2144.3775f,1710.0f,80.0f,1739.0f,25.909374f,898.58711f,49.227811f,11957.665f,119.18312f,354.68047f,150.27437f,1917.7876f,570.0f,77.0f,656.0f,15.545624f,403.48757f,49.227811f,4219.7856f,82.909997f,724.8329f,106.22843f,564.14245f,126.95593f,583.6819f,150.27437f,2010.6336f,350.0f,81.0f,499.0f,15.545624f,381.26844f,49.227811f,2555.826f,82.909997f,1095.3026f,150.27437f,2334.8343f,1711.0f,80.0f,1741.0f,25.909374f,995.76937f,49.227811f,11910.606f,82.909997f,1349.552f,150.27437f,1931.2539f,1709.0f,80.0f,1739.0f,25.909374f,1532.8176f,49.227811f,12423.466f,82.909997f,905.04617f,106.22843f,345.83738f,126.95593f,304.16585f,150.27437f,1748.142f,1714.0f,81.0f,1744.0f,49.227811f,12157.238f,119.18312f,284.16963f,150.27437f,2007.1634f,543.0f,50.0f,630.0f,18.136562f,355.3574f,49.227811f,3766.1774f,82.909997f,1198.5002f,150.27437f,1860.7807f,497.0f,33.0f,573.0f,49.227811f,3484.908f,82.909997f,838.22382f,106.22843f,360.98655f,126.95593f,383.58299f,150.27437f,1557.7773f,1714.0f,80.0f,1744.0f,25.909374f,1064.0871f,49.227811f,12097.419f,150.27437f,1754.1813f,1722.0f,78.0f,1751.0f,49.227811f,12738.56f,106.22843f,366.74869f,126.95593f,482.85273f,150.27437f,1874.2328f,1713.0f,80.0f,1743.0f,25.909374f,854.08752f,49.227811f,11970.81f,150.27437f,1809.3987f,332.0f,81.0f,475.0f,18.136562f,279.85644f,49.227811f,2492.5706f,82.909997f,1099.8202f,103.6375f,221.27832f,126.95593f,217.18119f,150.27437f,2284.4029f,1721.0f,79.0f,1750.0f,49.227811f,12761.436f,82.909997f,1185.9317f,126.95593f,391.28771f,150.27437f,1879.6205f,1714.0f,81.0f,1744.0f,49.227811f,11916.108f,72.546248f,1332.4275f,119.18312f,360.77815f,150.27437f,1830.0082f,571.0f,78.0f,660.0f,15.545624f,472.94001f,49.227811f,4215.3515f,82.909997f,774.68442f,106.22843f,283.25605f,150.27437f,1982.7045f,1714.0f,81.0f,1745.0f,25.909374f,1580.1583f,49.227811f,12417.793f,82.909997f,1105.2312f,126.95593f,410.02782f,150.27437f,1842.4142f,548.0f,51.0f,634.0f,49.227811f,3964.1782f,82.909997f,1133.3125f,150.27437f,1995.6856f,285.0f,63.0f,432.0f,18.136562f,394.17333f,49.227811f,1996.0139f,82.909997f,1144.1217f,116.59218f,241.86902f,150.27437f,1956.2574f,570.0f,77.0f,660.0f,18.136562f,493.4666f,49.227811f,4285.895f,82.909997f,1183.156f,150.27437f,2182.6124f,350.0f,81.0f,499.0f,15.545624f,449.82964f,49.227811f,2802.1567f,82.909997f,995.85085f,106.22843f,362.54944f,126.95593f,537.05651f,150.27437f,2297.718f,1715.0f,80.0f,1745.0f,49.227811f,12003.105f,116.59218f,478.95837f,150.27437f,1686.4931f,1726.0f,80.0f,1756.0f,49.227811f,12791.98f,82.909997f,1069.5333f,98.455622f,306.76702f,116.59218f,401.15396f,150.27437f,1963.7446f,1714.0f,80.0f,1745.0f,25.909374f,1467.2502f,49.227811f,12276.351f,126.95593f,421.85028f,150.27437f,1843.4887f,489.0f,30.0f,560.0f,15.545624f,320.26758f,49.227811f,3352.6443f,82.909997f,751.7336f,106.22843f,349.06662f,150.27437f,1391.0651f,490.0f,30.0f,562.0f,15.545624f,469.11882f,49.227811f,3407.7202f,82.909997f,741.91516f,150.27437f,1492.8607f,1704.0f,80.0f,1734.0f,49.227811f,12086.212f,150.27437f,1859.2128f,1705.0f,80.0f,1736.0f,49.227811f,12093.866f,82.909997f,914.04871f,98.455622f,491.16242f,126.95593f,523.62429f,150.27437f,2001.5479f,350.0f,81.0f,499.0f,49.227811f,2646.3755f,82.909997f,1132.8698f,103.6375f,317.28403f,126.95593f,459.35031f,150.27437f,2407.1658f,303.0f,78.0f,454.0f,15.545624f,767.90682f,49.227811f,2432.4939f,82.909997f,1183.9024f,150.27437f,2080.3179f,488.0f,30.0f,561.0f,15.545624f,784.73546f,49.227811f,3622.8203f,82.909997f,1033.5395f,116.59218f,566.19212f,150.27437f,1607.0726f,498.0f,33.0f,572.0f,49.227811f,3592.9166f,82.909997f,1083.8097f,106.22843f,409.08235f,126.95593f,394.74475f,150.27437f,1624.5159f,1723.0f,81.0f,1753.0f,15.545624f,498.91896f,49.227811f,12496.174f,82.909997f,1034.5732f,119.18312f,229.28958f,150.27437f,1837.8037f,1730.0f,80.0f,1759.0f,49.227811f,12797.177f,116.59218f,304.7103f,150.27437f,1896.179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};
static Node *Vector[Size];

void svm_init() {
    int i, j, idx = 0;
    for (i = 0; i < Size; ++i) {
        Vector[i] = New(Node, Elements[i] + 1);
        for (j = 0; j < Elements[i]; ++j, ++idx) {
            Vector[i][j].idx = j + 1;
            Vector[i][j].val = Weights[idx];
        }
        Vector[i][j].idx = 0;
    }
    okay = 1;
}

Node *input() {
    Node *x = New(Node, Feat + 1);
    int i;
    for (i = 0; i < Feat; ++i) {
        x[i].idx = i + 1;
        scanf("%f", &x[i].val);  // NOLINT
    }
    x[Feat].idx = 0;
    return x;
}

float rbf_kernel(const Node *x, const Node *y) {
    float sum = 0;

    while (x->idx != 0 && y->idx != 0) {
        if (x->idx == y->idx) {
            float d = x->val - y->val;
            sum += d * d;
            ++x, ++y;
        } else {
            if (x->idx > y->idx) {
                sum += y->val * y->val;
                ++y;
            } else {
                sum += x->val * x->val;
                ++x;
            }
        }
    }

    while (x->idx != 0) {
        sum += x->val * x->val;
        ++x;
    }

    while (y->idx != -0) {
        sum += y->val * y->val;
        ++y;
    }

    return expf(-Gama * sum);
}

int8_t svm_predict(const Node *x) {
    if (okay == 0) {
        printf("you should call `svm_init();` first.");
        return 0;
    }

    float sum = -Bias;
    uint32_t i;
    for (i = 0; i < Size; ++i) sum += Scales[i] * rbf_kernel(x, Vector[i]);
    return sum > 0 ? 1 : -1;
}