PrusaSlicer-NonPlainar/xs/src/libslic3r/libslic3r.h

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#ifndef _libslic3r_h_
#define _libslic3r_h_
// this needs to be included early for MSVC (listing it in Build.PL is not enough)
#include <ostream>
#include <iostream>
#include <math.h>
#include <queue>
#include <sstream>
#include <cstdio>
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#include <stdint.h>
#include <stdarg.h>
#include <vector>
#include <iterator>
#include <utility>
#include <boost/thread.hpp>
#define SLIC3R_FORK_NAME "Slic3r Prusa Edition"
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#define SLIC3R_VERSION "1.31.6"
//FIXME This epsilon value is used for many non-related purposes:
// For a threshold of a squared Euclidean distance,
// for a trheshold in a difference of radians,
// for a threshold of a cross product of two non-normalized vectors etc.
#define EPSILON 1e-4
// Scaling factor for a conversion from coord_t to coordf_t: 10e-6
// This scaling generates a following fixed point representation with for a 32bit integer:
// 0..4294mm with 1nm resolution
// int32_t fits an interval of (-2147.48mm, +2147.48mm)
#define SCALING_FACTOR 0.000001
// RESOLUTION, SCALED_RESOLUTION: Used as an error threshold for a Douglas-Peucker polyline simplification algorithm.
#define RESOLUTION 0.0125
#define SCALED_RESOLUTION (RESOLUTION / SCALING_FACTOR)
#define PI 3.141592653589793238
// When extruding a closed loop, the loop is interrupted and shortened a bit to reduce the seam.
#define LOOP_CLIPPING_LENGTH_OVER_NOZZLE_DIAMETER 0.15
// Maximum perimeter length for the loop to apply the small perimeter speed.
#define SMALL_PERIMETER_LENGTH (6.5 / SCALING_FACTOR) * 2 * PI
#define INSET_OVERLAP_TOLERANCE 0.4
// 3mm ring around the top / bottom / bridging areas.
//FIXME This is quite a lot.
#define EXTERNAL_INFILL_MARGIN 3.
#define scale_(val) ((val) / SCALING_FACTOR)
#define unscale(val) ((val) * SCALING_FACTOR)
#define SCALED_EPSILON scale_(EPSILON)
typedef long coord_t;
typedef double coordf_t;
/* Implementation of CONFESS("foo"): */
#ifdef _MSC_VER
#define CONFESS(...) confess_at(__FILE__, __LINE__, __FUNCTION__, __VA_ARGS__)
#else
#define CONFESS(...) confess_at(__FILE__, __LINE__, __func__, __VA_ARGS__)
#endif
void confess_at(const char *file, int line, const char *func, const char *pat, ...);
/* End implementation of CONFESS("foo"): */
// Which C++ version is supported?
// For example, could optimized functions with move semantics be used?
#if __cplusplus==201402L
#define SLIC3R_CPPVER 14
#define STDMOVE(WHAT) std::move(WHAT)
#elif __cplusplus==201103L
#define SLIC3R_CPPVER 11
#define STDMOVE(WHAT) std::move(WHAT)
#else
#define SLIC3R_CPPVER 0
#define STDMOVE(WHAT) (WHAT)
#endif
#define SLIC3R_DEBUG_OUT_PATH_PREFIX "out/"
inline std::string debug_out_path(const char *name, ...)
{
char buffer[2048];
va_list args;
va_start(args, name);
std::vsprintf(buffer, name, args);
va_end(args);
return std::string(SLIC3R_DEBUG_OUT_PATH_PREFIX) + std::string(buffer);
}
#ifdef _MSC_VER
// Visual Studio older than 2015 does not support the prinf type specifier %zu. Use %Iu instead.
#define PRINTF_ZU "%Iu"
#else
#define PRINTF_ZU "%zu"
#endif
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// Write slices as SVG images into out directory during the 2D processing of the slices.
// #define SLIC3R_DEBUG_SLICE_PROCESSING
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namespace Slic3r {
enum Axis { X=0, Y, Z };
template <class T>
inline void append_to(std::vector<T> &dst, const std::vector<T> &src)
{
dst.insert(dst.end(), src.begin(), src.end());
}
template <class T> void
_parallelize_do(std::queue<T>* queue, boost::mutex* queue_mutex, boost::function<void(T)> func)
{
//std::cout << "THREAD STARTED: " << boost::this_thread::get_id() << std::endl;
while (true) {
T i;
{
boost::lock_guard<boost::mutex> l(*queue_mutex);
if (queue->empty()) return;
i = queue->front();
queue->pop();
}
//std::cout << " Thread " << boost::this_thread::get_id() << " processing item " << i << std::endl;
func(i);
boost::this_thread::interruption_point();
}
}
template <class T> void
parallelize(std::queue<T> queue, boost::function<void(T)> func,
int threads_count = boost::thread::hardware_concurrency())
{
if (threads_count == 0) threads_count = 2;
boost::mutex queue_mutex;
boost::thread_group workers;
for (int i = 0; i < std::min(threads_count, int(queue.size())); ++ i)
workers.add_thread(new boost::thread(&_parallelize_do<T>, &queue, &queue_mutex, func));
workers.join_all();
}
template <class T> void
parallelize(T start, T end, boost::function<void(T)> func,
int threads_count = boost::thread::hardware_concurrency())
{
std::queue<T> queue;
for (T i = start; i <= end; ++i) queue.push(i);
parallelize(queue, func, threads_count);
}
template <typename T>
void append(std::vector<T>& dest, const std::vector<T>& src)
{
if (dest.empty())
dest = src;
else
dest.insert(std::end(dest), std::cbegin(src), std::cend(src));
}
template <typename T>
void append(std::vector<T>& dest, std::vector<T>&& src)
{
if (dest.empty())
dest = std::move(src);
else
dest.insert(std::end(dest),
std::make_move_iterator(std::begin(src)),
std::make_move_iterator(std::end(src)));
src.clear();
src.shrink_to_fit();
}
} // namespace Slic3r
#endif