#include <cmath>
#include <cstdio>
#include <cstdlib>
array hurl(
const array &in, 
int randomization, 
int repeat)
 {
    float f = randomization / 100.0f;
    int dim = (int)(f*w*h);
    for (int i = 0; i<repeat; ++i) {
        temp(idxs, 0) = rndR;
        temp(idxs, 1) = rndG;
        temp(idxs, 2) = rndB;
    }
    return ret_val;
}
array getRandomNeighbor(
const array &in, 
int windW, 
int windH)
 {
}
array spread(
const array &in, 
int window_width, 
int window_height)
 {
    return getRandomNeighbor(in, window_width, window_height);
}
array pick(
const array &in, 
int randomization, 
int repeat)
 {
    float f = randomization / 100.0f;
    int dim = (int)(f*w*h);
    for (int i = 0; i<repeat; ++i) {
        array rnd = getRandomNeighbor(ret_val, 1, 1);
         temp_dst(idxs, 
span) = temp_src(idxs, 
span);
    }
    return ret_val;
}
{
    static float h1[] = { 1, 1, 1 };
    static float h2[] = { -1, 0, 1 };
    
    
}
{
    
    
}
void normalizeImage(
array &in)
 {
    float min = af::min<float>(in);
     float max = af::max<float>(in);
     in = 255.0f*((in - 
min) / (max - min));
}
array DifferenceOfGaussian(
const array &in, 
int window_radius1, 
int window_radius2)
 {
    int w1 = 2 * window_radius1 + 1;
    int w2 = 2 * window_radius2 + 1;
    normalizeImage(ret_val);
    return ret_val;
}
array medianfilter(
const array &in, 
int window_width, 
int window_height)
 {
    return ret_val;
}
array gaussianblur(
const array &in, 
int window_width, 
int window_height, 
double sigma)
 {
}
array emboss(
const array &input, 
float azimuth, 
float elevation, 
float depth)
 {
    if (depth<1 || depth>100) {
        printf("Depth should be in the range of 1-100");
        return input;
    }
    static float x[3] = { -1, 0, 1 };
    else
        in = input;
    
    float phi = elevation*
af::Pi / 180.0f;
     float theta = azimuth*
af::Pi / 180.0f;
     
    
    
    
    float pos[3];
    pos[0] = 255.99f * 
cos(phi)*
cos(theta);
    pos[1] = 255.99f * 
cos(phi)*
sin(theta);
    pos[2] = 255.99f * 
sin(phi);
    
    float pxlz = (6 * 255.0f) / depth;
    array vdot = gx*pos[0] + gy*pos[1] + pxlz*pos[2];
     array outwd = vdot < 0.0f;
     array color = outwd * 0.0f + (1 - outwd) * norm;
     return color;
}
int main(int argc, char **argv)
{
    try {
        int device = argc > 1 ? atoi(argv[1]) : 0;
        array img = 
loadImage(ASSETS_DIR 
"/examples/images/vegetable-woman.jpg", 
true);
         array prew_mag, prew_dir;
         prewitt(prew_mag, prew_dir, img1ch);
        sobelFilter(sob_mag, sob_dir, img1ch);
        array sprd = spread(img, 3, 3);
         array hrl = hurl(img, 10, 1);
         array pckng = pick(img, 40, 2);
         array difog = DifferenceOfGaussian(img, 1, 2);
         array mf = medianfilter(hrl, 5, 5);
         array gb = gaussianblur(hrl, 3, 3, 0.8);
         array emb = emboss(img, 45, 20, 10);
         std::cout << "Press ESC while the window is in focus to exit" << std::endl;
            wnd(0, 0).
image(hrl / 255, 
"Hurl noise");
            wnd(1, 0).
image(gb / 255, 
"Gaussian blur");
            wnd(0, 1).
image(bil / 255, 
"Bilateral filter on hurl noise");
            wnd(1, 1).
image(mf / 255, 
"Median filter on hurl noise");
            wnd(0, 2).
image(prew_mag / 255, 
"Prewitt edge filter");
            wnd(1, 2).
image(sob_mag / 255, 
"Sobel edge filter");
            wnd(0, 3).
image(sprd / 255, 
"Spread filter");
            wnd(1, 3).
image(pckng / 255, 
"Pick filter");
            wnd(0, 4).
image(difog / 255, 
"Difference of gaussians(3x3 and 5x5)");
            wnd(1, 4).
image(emb / 255, 
"Emboss effect");
        }
    }
        fprintf(stderr, 
"%s\n", e.
what());
        throw;
    }
    return 0;
}