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#include <iostream>
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#include <ctime>
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#include <valarray>
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#include "Attractor.hpp"
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#include "Canvas.hpp"
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#include "Projector.hpp"
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#include "defines.hpp"
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/*
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I compared the performance of C-style arrays with valarray. My conclusion is that accessing and setting elements makes no difference (sometimes C-syle array's were just 2% faster, but sometimes valarray was 2% faster (5000000 samples)). But the allocation and initialisation of the valrray was like 30% faster, so it might be a good idea to change my C-style array to valarray. It is also nicer in use, one can use functions like sum, etc. How valarray manages memory may also be more efficient, but all i know is that a valarray<double> is bigger than a double* (in means of sizeof()), but that is not really an issue. So valarray!!!
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*/
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int main(int argc, char *argv[]) {
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clock_t start, end;
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double totalTime, totalIterations;
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bool verbose = false;
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// initialising stuff
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Attractor myAttractor(ATTRACTOR_FILE);
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Projector projection;
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Canvas canvas(WIDTH, HEIGHT, 3);
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projection.canvas = &canvas;
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myAttractor.projectors.push_back(&projection);
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myAttractor.init_range();
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projection.output();
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unsigned int iterations = ITERATIONS;
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start = clock();
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for ( unsigned int j = 1; j <= 100; j++ ) {
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for ( unsigned int i = 0; i <= iterations; i++ ) {
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myAttractor.iterate();
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myAttractor.plot();
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}
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if (verbose) {
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myAttractor.output();
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std::cout << j << "% done" << std::endl;
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}
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}
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end = clock();
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totalIterations = 100.0*iterations;
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totalTime = ((double)(end-start)/(double)(CLOCKS_PER_SEC));
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std::cout << std::endl << "total clock time: " << totalTime << std::endl;
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std::cout << "average iterations per second: " << totalIterations/((double)(end-start)/(double)(CLOCKS_PER_SEC)) << std::endl << std::endl;
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// saving output
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start = clock();
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canvas.output_file();
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end = clock();
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totalTime = ((double)(end-start)/(double)(CLOCKS_PER_SEC));
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std::cout << "total clock time for writing png: " << totalTime << std::endl;
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std::cout << std::endl << "Awesome Attractor, version " << __DATE__ << std::endl;
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return 0;
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}
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