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96129bc8ab
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7e1be18f0d |
@ -1,6 +1,6 @@
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#include "histogram_equalization.h"
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#include "../histogram.h"
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#include <cmath> // Dla funkcji round
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HistogramEqualization::HistogramEqualization(PNM* img) :
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Transformation(img)
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@ -14,44 +14,77 @@ HistogramEqualization::HistogramEqualization(PNM* img, ImageViewer* iv) :
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PNM* HistogramEqualization::transform()
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{
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int width = image->width();
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int height = image->height();
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float width = image->width();
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float height = image->height();
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// Tworzymy nowy obiekt PNM do przechowywania przetworzonego obrazu
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PNM* newImage = new PNM(width, height, image->format());
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Histogram* histogram = image->getHistogram();
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// Tworzymy histogram dla obecnego obrazu
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Histogram* hist = image->getHistogram(); // Nie przekazujemy argumentów
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QHash<int, int>* R = histogram->get(Histogram::RChannel);
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QHash<int, int>* G = histogram->get(Histogram::GChannel);
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QHash<int, int>* B = histogram->get(Histogram::BChannel);
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QHash<int, int>* L = histogram->get(Histogram::LChannel);
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// Pobieramy łączną liczbę pikseli na obrazie
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int totalPixels = width * height;
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// Probability tables
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float redProb[255];
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float greenProb[255];
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float blueProb[255];
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float greyProb[255];
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// Tworzymy dystrybuantę
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QVector<double> cdf(256, 0.0); // Inicjalizujemy wszystkie wartości na 0.0
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double sum = 0.0;
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for (int i = 0; i < 256; ++i) {
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sum += hist->get(Histogram::LChannel)->value(i) / static_cast<double>(totalPixels); // Używamy kanału luminancji
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cdf[i] = sum;
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float pixelSum = width * height;
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for (int i = 0; i < 256; i++)
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{
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redProb[i] = (R->value(i)) / (pixelSum);
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greenProb[i] = (G->value(i)) / (pixelSum);
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blueProb[i] = (B->value(i)) / (pixelSum);
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greyProb[i] = (L->value(i)) / (pixelSum);
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}
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// Normalizujemy dystrybuantę do przedziału [0, 255]
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QVector<int> lookupTable(256, 0);
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for (int i = 0; i < 256; ++i) {
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lookupTable[i] = round(cdf[i] * 255);
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// D look-up
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float redD[255];
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float greenD[255];
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float blueD[255];
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float greyD[255];
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// Create template values
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float sumRed = 0;
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float sumGreen = 0;
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float sumBlue = 0;
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float sumGrey = 0;
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for(int i = 0; i < 255; i++)
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{
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sumRed = redProb[i] + sumRed;
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redD[i] = sumRed;
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sumGreen = greenProb[i] + sumGreen;
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greenD[i] = sumGreen;
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sumBlue = blueProb[i] + sumBlue;
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blueD[i] = sumBlue;
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sumGrey= greyProb[i] + sumGrey;
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greyD[i] = sumGrey;
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}
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// Przeprowadzamy wyrównywanie histogramu
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for (int y = 0; y < height; ++y) {
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for (int x = 0; x < width; ++x) {
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for (int x = 0; x < image->width(); x++)
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{
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for (int y = 0; y < image->height(); y++)
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{
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QRgb pixel = image->pixel(x, y);
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int grayValue = qGray(pixel); // Pobieramy wartość odcienia szarości
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// Używamy wartości z lookupTable jako nowej wartości odcienia szarości
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int newGrayValue = lookupTable[grayValue];
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QRgb newPixel = qRgb(newGrayValue, newGrayValue, newGrayValue); // Ustawiamy nową wartość dla każdego kanału RGB
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// Ustawiamy nowy piksel na obrazie docelowym
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newImage->setPixel(x, y, newPixel);
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if (image->format() == QImage::Format_RGB32) {
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newImage->setPixel(
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x,
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y,
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QColor(
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redD[qRed(pixel)] * 255,
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greenD[qGreen(pixel)] * 255,
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blueD[qBlue(pixel)] * 255
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).rgb());
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}
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else {
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newImage->setPixel(x, y, greyD[qGray(pixel)] * 255);
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}
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}
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}
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@ -20,42 +20,76 @@ PNM* HistogramStretching::transform()
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PNM* newImage = new PNM(width, height, image->format());
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Histogram* histogram = image->getHistogram();
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int minValue = -1;
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int maxValue = -1;
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int maxRed = 255, maxGreen = 255, maxBlue = 255, maxGrey = 255;
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for (int y = 0; y < image->height(); ++y) {
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for (int x = 0; x < image->width(); ++x) {
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if (histogram->get(Histogram::LChannel)->value(x + y * x) != 0)
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{
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minValue = histogram->get(Histogram::LChannel)->value(x + y * x);
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break;
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}
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int minRed = 0, minGreen = 0, minBlue = 0, minGrey = 0;
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QHash<int, int>* R = histogram->get(histogram->RChannel);
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QHash<int, int>* G = histogram->get(histogram->GChannel);
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QHash<int, int>* B = histogram->get(histogram->BChannel);
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QHash<int, int>* L = histogram->get(histogram->LChannel);
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for (int i=0; i<256; i++)
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{
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if (R->value(minRed) == 0) {
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minRed++;
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}
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if (G->value(minGreen) == 0) {
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minGreen++;
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}
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if (B->value(minBlue) == 0) {
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minBlue++;
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}
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if (L->value(minGrey) == 0) {
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minGrey++;
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}
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}
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for (int y = image->height(); y > 0; --y) {
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for (int x = image->width(); x < 0; --x) {
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if (histogram->get(Histogram::LChannel)->value(x + y * x) != 0)
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{
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minValue = histogram->get(Histogram::LChannel)->value(x + y * x);
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break;
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}
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for (int i=256; i>0; i--)
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{
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if (R->value(maxRed) == 0) {
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maxRed--;
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}
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if (G->value(maxGreen) == 0) {
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maxGreen--;
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}
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if (B->value(maxBlue) == 0) {
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maxBlue--;
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}
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if (L->value(maxGrey) == 0) {
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maxGrey--;
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}
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}
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for (int y = 0; y < image->height(); ++y) {
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for (int x = 0; x < image->width(); ++x) {
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QRgb pixel = image->pixel(x, y);
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for (int x = 0; x < image->width(); x++) {
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for (int y = 0; y < image->height(); y++) {
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QRgb p = image->pixel(x, y);
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int red = qRed(pixel);
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int green = qGreen(pixel);
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int blue = qBlue(pixel);
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if(image->format() == QImage::Format_RGB32) {
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int red = qRed(p);
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int green = qGreen(p);
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int blue = qBlue(p);
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int stretchedRed = (255 * (red - minValue)) / (maxValue - minValue);
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int stretchedGreen = (255 * (green - minValue)) / (maxValue - minValue);
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int stretchedBlue = (255 * (blue - minValue)) / (maxValue - minValue);
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newImage->setPixel(x, y, qRgb(stretchedRed, stretchedGreen, stretchedBlue));
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newImage->setPixel(
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x,
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y,
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QColor(
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(255 / (maxRed - minRed)) * (red - minRed),
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(255 / (maxGreen - minGreen)) * (green - minGreen),
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(255 / (maxBlue - minBlue)) * (blue - minBlue)
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).rgb());
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} else {
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newImage->setPixel(
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x,
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y,
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(255 / (maxGrey - minGrey)) * (qGray(p) - minGrey));
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}
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}
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}
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