Updated: Basic tricorn implementation fixed and comments added
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@@ -17,7 +17,7 @@ unsigned tests(void) {
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void benchmarking(void) {
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void benchmarking(void) {
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// do the benchmarking
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// do the benchmarking
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}
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}
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// REMOVE LATER: interesting test command ./tricorn -s -2.0,0.6 -r 0.0010 -n 200 -d 1920 1080 -o image.bmp -C
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const char* help_messsage = "Help Message\n\n"
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const char* help_messsage = "Help Message\n\n"
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"Usage:\n"
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"Usage:\n"
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" ./tricorn [OPTIONS]\n\n"
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" ./tricorn [OPTIONS]\n\n"
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@@ -1,37 +1,50 @@
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#include "tricorn.h"
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#include "tricorn.h"
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static const float convergenceLimit = 2.0f;
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static const float convergenceLimit = 2.0f; // Mandelbrot set limit
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unsigned converge(float complex position,unsigned n);
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unsigned converge(float complex position,unsigned n);
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void tricorn(float complex start, size_t width, ssize_t height, float res, unsigned n, _Bool color, unsigned char* img){
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void tricorn(float complex start, size_t width, ssize_t height, float res, unsigned n, _Bool color, unsigned char* img){
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// Absolute height for iteration purposes
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height = height < 0 ? height*-1 : height;
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height = height < 0 ? height*-1 : height;
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// Simple iteration over every pixel in the picture
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for(size_t i = 0; i < width; i++){
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for(size_t i = 0; i < width; i++){
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for(ssize_t j = 0; j < height; j++){
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for(ssize_t j = 0; j < height; j++){
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unsigned value = converge(start + (i*res + I*j*res),n);
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unsigned value = converge(start + (i*res - I*j*res),n);
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size_t position = (i*width +j) *3;
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if(!color){
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// Pixel value position in the output array
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size_t position = (j*width +i) *3;
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if(!color){ // Grayscale colors as specified by the assignment r = g = b
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img[position] = value;
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img[position] = value;
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img[position + 1] = value;
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img[position + 1] = value;
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img[position + 2] = value;
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img[position + 2] = value;
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}
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}
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else{ // TEMPORARY / Bad looking color gradient before testing
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else{ // Temporary colors with random multipliers
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img[position] = (value % 85)*3;
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img[position] = ((value*3) % 255);
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img[position + 1] = 85 +(value % 85) * 2;
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img[position + 1] = ((value*2) % 255) ;
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img[position + 2] = 170 +(value % 85);
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img[position + 2] = ((value*5) % 255);
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}
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}
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}
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}
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}
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}
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}
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}
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// Iterative application of the equation given by the assignment
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unsigned converge(float complex position,unsigned n){
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unsigned converge(float complex position,unsigned n){
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complex float result = 0;
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complex float result = 0;
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for(unsigned i = 0; i < n; i++){
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for(unsigned i = 0; i < n; i++){
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// Application of the given complex equation with m = 2
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result = cpowf(conjf(result),2) + position;
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result = cpowf(conjf(result),2) + position;
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if(sqrtf(crealf(result)+cimagf(result)) > convergenceLimit)
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// Detection of unbounded behaviour
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// If the magnitude of the result vector is greater than the convergence limit, we know that the function will grow unbounded
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// Current convergence limit taken from mandelbrot set
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if(sqrtf(powf (crealf(result),2)+powf(cimagf(result),2)) > convergenceLimit)
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return 255-4*(i % 64);
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return 255-4*(i % 64);
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}
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}
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return 0;
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return 0;
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