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#include <imgen.h>
#include <cmath>
#include <algorithm>
double euclidean_metric(int refX, int refY, int x, int y) {
return std::sqrt(
std::pow(refX - x, 2) + std::pow(refY - y, 2)
);
}
int manhattan_metric(int refX, int refY, int x, int y) {
return std::abs(refX - x) + std::abs(refY - y);
}
int main(int, char*[]) {
using refpos = std::tuple<int, int, imgen::color>;
std::array<refpos, 5> ref{
refpos(100, 50, imgen::color(255, 0, 0 )),
refpos(500, 300, imgen::color(0, 255, 0 )),
refpos(250, 250, imgen::color(0, 0, 255)),
refpos(400, 20, imgen::color(100, 10, 100)),
refpos(60, 400, imgen::color(20, 60, 300))
};
imgen::write_ppm(
"test.ppm",
500,
500,
[&ref](std::size_t x, std::size_t y) -> imgen::color {
const refpos& nearest = *std::min_element(
ref.begin(),
ref.end(),
[x, y](const refpos& a, const refpos& b) -> bool {
return manhattan_metric(std::get<0>(a), std::get<1>(a), x, y)
< manhattan_metric(std::get<0>(b), std::get<1>(b), x, y);
}
);
return std::get<2>(nearest);
}
);
}
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