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worker.cpp
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worker.cpp
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#include "worker.h"
Worker::Worker() :
points(p.dim*p.dim, 0)
{}
void Worker::calculate_and_save_hints(int num_threads, std::string filename)
{
calculate_hints(num_threads);
save_hints_to_file(filename);
}
void Worker::computation(int num_threads)
{
for (int i=0; i<num_threads; i++)
{
threads.push_back(
std::unique_ptr<WorkerThread>(new WorkerThread(i, &hints)));
threads[i]->start();
}
for (auto& t : threads)
{
t->finish();
update_points_from_thread(t);
}
}
void Worker::save_hints_to_file(std::string filename)
{
std::ofstream ofile(filename, std::ios::binary);
if (ofile.is_open())
{
for (auto const& value : hints)
{
ofile.write(reinterpret_cast<const char*>(&value),
sizeof(value));
}
ofile.close();
}
}
bool Worker::read_hints_from_file(std::string filename)
{
std::ifstream ifile(filename, std::ios::binary);
if (ifile.is_open())
{
Complex value{0.0, 0.0};
while (true)
{
ifile.read(reinterpret_cast<char*>(&value),
sizeof(value));
if (ifile.fail() || ifile.eof()) break;
hints.push_back(value);
}
ifile.close();
}
return false;
}
int Worker::calculate_value(const double& x, const double& y) const
{
Complex co {0.0, 0.0};
Complex o {x, y};
int iterations = p.depth;
int escaped_after = 0;
while (escaped_after < iterations && !escaped(co))
{
recurse(co, o);
escaped_after++;
}
return escaped_after;
}
bool Worker::good_point(const double& x, const double& y) const
{
auto val = calculate_value(x, y);
return p.min_depth < val && val < p.depth;
}
void Worker::calculate_hints_range(int low_r, int high_r, std::deque<int>& row_queue)
{
while (true)
{
int r = 0;
{
std::lock_guard<std::mutex> lk(mu);
if (row_queue.empty())
{
return;
} else {
r = row_queue.back();
row_queue.pop_back();
}
}
std::cout << r << std::endl;
for (int c=0; c<p.dim; c++)
{
double x = get_x(c);
double y = get_y(r);
if (good_point(x, y))
{
{
std::lock_guard<std::mutex> lk(mu);
hints.push_back(Complex{x, y});
}
}
}
}
}
void Worker::calculate_hints(int num_threads)
{
std::vector<std::unique_ptr<std::thread>> hint_threads;
std::deque<int> row_queue(p.dim);
std::iota(row_queue.begin(), row_queue.end(), 0);
int low_r = 0;
for (int i=0; i<num_threads; i++)
{
int high_r = p.dim - (num_threads - i - 1) * (p.dim / num_threads);
hint_threads.push_back(std::unique_ptr<std::thread>(
new std::thread(&Worker::calculate_hints_range, this, low_r, high_r, std::ref(row_queue))));
low_r = high_r;
}
for (auto& t : hint_threads)
{
if (t->joinable())
{
t->join();
}
}
}
long Worker::calculate_histogram_interval(std::vector<long>& v) const
{
long interval {0};
std::for_each(std::begin(v), std::end(v),
[&] (long n) { interval += n; } );
return interval / 255;
}
std::vector<long> Worker::get_interval_points()
{
std::vector<long> sorted(points.size());
std::copy(std::begin(points), std::end(points), std::begin(sorted));
std::sort(std::begin(sorted), std::end(sorted));
std::vector<long> breakpoints;
long current_point_number {0};
auto interval = calculate_histogram_interval(points);
for (auto& e : sorted)
{
current_point_number += e;
if (current_point_number > interval)
{
breakpoints.push_back(e);
current_point_number = 0;
}
}
return breakpoints;
}
void Worker::save_image(std::string filename)
{
bitmap_image img(p.dim, p.dim);
auto breakpoints = get_interval_points();
for (int r=0; r<p.dim; r++)
{
for (int c=0; c<p.dim; c++)
{
long val = points[r*p.dim + c];
int color {0};
auto it = std::begin(breakpoints);
while (it != std::end(breakpoints) && (*it) < val)
{
color++;
it++;
}
color = 255 - color;
img.set_pixel(r, c, color, color, color);
}
}
img.save_image("./images/" + filename + ".bmp");
}
void Worker::update_points_from_thread(std::unique_ptr<WorkerThread>& t)
{
for (const auto& e : t->point_map)
{
points[e.first] += e.second;
}
}