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106 lines
2.1 KiB
106 lines
2.1 KiB
#include "../Logger.hpp"
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#include "Normalizer.hpp"
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#pragma mark -
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#pragma mark memory
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Normalizer::Normalizer(unsigned int dimension) :
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Projector(dimension, dimension),
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range_min(0), range_max(0), offset(0),
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factor(1) {
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ready = false;
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try {
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allocate();
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} catch(std::exception& e) {
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LogError("Couldn't construct Normalizer (Projector): %s\n", e.what());
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deallocate();
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}
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std::fill_n(range_min, outputDimension, 0.0);
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std::fill_n(range_max, outputDimension, 0.0);
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std::fill_n(offset, outputDimension, 0.0);
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}
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Normalizer::~Normalizer() {
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deallocate();
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}
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void Normalizer::allocate() {
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range_min = new double[outputDimension];
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range_max = new double[outputDimension];
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offset = new double[outputDimension];
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}
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void Normalizer::deallocate() {
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delete[] range_min;
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range_min = 0;
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delete[] range_max;
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range_max = 0;
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delete[] offset;
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offset = 0;
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}
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#pragma mark -
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#pragma mark plot
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void Normalizer::project(const double* point) {
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for(unsigned int i = 0; i < inputDimension; ++i) {
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projectedPoint[i] = point[i]*factor + offset[i];
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}
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projectedColor[0] = sin(2.0 * point[2]);
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if(!ready) {
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static unsigned int state = 0;
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switch(state) {
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case 0:
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init_range();
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break;
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case 1000000:
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finish_range();
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ready = true;
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break;
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default:
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update_range();
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break;
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}
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++state;
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}
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}
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#pragma mark -
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#pragma mark setting up
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void Normalizer::init_range() {
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for(unsigned int i = 0; i < outputDimension; i++) {
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range_min[i] = range_max[i] = projectedPoint[i];
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}
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}
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void Normalizer::update_range() {
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for(unsigned int i = 0; i < outputDimension; i++) {
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if(projectedPoint[i] < range_min[i]) {
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range_min[i] = projectedPoint[i];
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} else if(projectedPoint[i] > range_max[i]) {
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range_max[i] = projectedPoint[i];
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}
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}
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}
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void Normalizer::finish_range() {
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factor = 1.0 / (range_max[0] - range_min[0]);
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for(unsigned int i = 1; i < outputDimension; i++) {
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double dist = range_max[i] - range_min[i];
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if(factor * dist > 1.0) {
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factor = 1.0 / dist;
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//teh_size = canvas->size[i];
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LogDebug("Crap for dimension %d\n", i);
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}
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}
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for(unsigned int i = 0; i < outputDimension; i++) {
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offset[i] = -0.5*factor*(range_min[i] + range_max[i]);
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}
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}
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