Fixing nesting crash in debug mode.

Also commented out unnecessary bloat from AppController
This commit is contained in:
tamasmeszaros 2018-10-23 17:18:38 +02:00
parent bded28f888
commit 34e652b985
47 changed files with 1928 additions and 5547 deletions

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#ifndef LIBNEST2D_H
#define LIBNEST2D_H
// The type of backend should be set conditionally by the cmake configuriation
// for now we set it statically to clipper backend
#ifdef LIBNEST2D_BACKEND_CLIPPER
#include <libnest2d/backends/clipper/geometries.hpp>
#endif
#ifdef LIBNEST2D_OPTIMIZER_NLOPT
// We include the stock optimizers for local and global optimization
#include <libnest2d/optimizers/nlopt/subplex.hpp> // Local subplex for NfpPlacer
#include <libnest2d/optimizers/nlopt/genetic.hpp> // Genetic for min. bounding box
#endif
#include <libnest2d/libnest2d.hpp>
#include <libnest2d/placers/bottomleftplacer.hpp>
#include <libnest2d/placers/nfpplacer.hpp>
#include <libnest2d/selections/firstfit.hpp>
#include <libnest2d/selections/filler.hpp>
#include <libnest2d/selections/djd_heuristic.hpp>
namespace libnest2d {
using Point = PointImpl;
using Coord = TCoord<PointImpl>;
using Box = _Box<PointImpl>;
using Segment = _Segment<PointImpl>;
using Circle = _Circle<PointImpl>;
using Item = _Item<PolygonImpl>;
using Rectangle = _Rectangle<PolygonImpl>;
using PackGroup = _PackGroup<PolygonImpl>;
using IndexedPackGroup = _IndexedPackGroup<PolygonImpl>;
using FillerSelection = selections::_FillerSelection<PolygonImpl>;
using FirstFitSelection = selections::_FirstFitSelection<PolygonImpl>;
using DJDHeuristic = selections::_DJDHeuristic<PolygonImpl>;
template<class Bin> // Generic placer for arbitrary bin types
using _NfpPlacer = placers::_NofitPolyPlacer<PolygonImpl, Bin>;
// NfpPlacer is with Box bin
using NfpPlacer = _NfpPlacer<Box>;
// This supports only box shaped bins
using BottomLeftPlacer = placers::_BottomLeftPlacer<PolygonImpl>;
template<class Placer = NfpPlacer,
class Selector = FirstFitSelection,
class Iterator = std::vector<Item>::iterator>
PackGroup nest(Iterator from, Iterator to,
const typename Placer::BinType& bin,
Coord dist = 0,
const typename Placer::Config& pconf = {},
const typename Selector::Config& sconf = {})
{
Nester<Placer, Selector> nester(bin, dist, pconf, sconf);
return nester.execute(from, to);
}
template<class Placer = NfpPlacer,
class Selector = FirstFitSelection,
class Container = std::vector<Item>>
PackGroup nest(Container&& cont,
const typename Placer::BinType& bin,
Coord dist = 0,
const typename Placer::Config& pconf = {},
const typename Selector::Config& sconf = {})
{
return nest<Placer, Selector>(cont.begin(), cont.end(),
bin, dist, pconf, sconf);
}
template<class Placer = NfpPlacer,
class Selector = FirstFitSelection,
class Iterator = std::vector<Item>::iterator>
PackGroup nest(Iterator from, Iterator to,
const typename Placer::BinType& bin,
ProgressFunction prg,
StopCondition scond = []() { return false; },
Coord dist = 0,
const typename Placer::Config& pconf = {},
const typename Selector::Config& sconf = {})
{
Nester<Placer, Selector> nester(bin, dist, pconf, sconf);
if(prg) nester.progressIndicator(prg);
if(scond) nester.stopCondition(scond);
return nester.execute(from, to);
}
template<class Placer = NfpPlacer,
class Selector = FirstFitSelection,
class Container = std::vector<Item>>
PackGroup nest(Container&& cont,
const typename Placer::BinType& bin,
ProgressFunction prg,
StopCondition scond = []() { return false; },
Coord dist = 0,
const typename Placer::Config& pconf = {},
const typename Selector::Config& sconf = {})
{
return nest<Placer, Selector>(cont.begin(), cont.end(),
bin, prg, scond, dist, pconf, sconf);
}
#ifdef LIBNEST2D_STATIC
extern template
PackGroup nest<NfpPlacer, FirstFitSelection, std::vector<Item>&>(
std::vector<Item>& cont,
const Box& bin,
Coord dist,
const NfpPlacer::Config& pcfg,
const FirstFitSelection::Config& scfg
);
extern template
PackGroup nest<NfpPlacer, FirstFitSelection, std::vector<Item>&>(
std::vector<Item>& cont,
const Box& bin,
ProgressFunction prg,
StopCondition scond,
Coord dist,
const NfpPlacer::Config& pcfg,
const FirstFitSelection::Config& scfg
);
extern template
PackGroup nest<NfpPlacer, FirstFitSelection, std::vector<Item>>(
std::vector<Item>&& cont,
const Box& bin,
Coord dist,
const NfpPlacer::Config& pcfg,
const FirstFitSelection::Config& scfg
);
extern template
PackGroup nest<NfpPlacer, FirstFitSelection, std::vector<Item>>(
std::vector<Item>&& cont,
const Box& bin,
ProgressFunction prg,
StopCondition scond,
Coord dist,
const NfpPlacer::Config& pcfg,
const FirstFitSelection::Config& scfg
);
extern template
PackGroup nest<NfpPlacer, FirstFitSelection, std::vector<Item>::iterator>(
std::vector<Item>::iterator from,
std::vector<Item>::iterator to,
const Box& bin,
Coord dist,
const NfpPlacer::Config& pcfg,
const FirstFitSelection::Config& scfg
);
extern template
PackGroup nest<NfpPlacer, FirstFitSelection, std::vector<Item>::iterator>(
std::vector<Item>::iterator from,
std::vector<Item>::iterator to,
const Box& bin,
ProgressFunction prg,
StopCondition scond,
Coord dist,
const NfpPlacer::Config& pcfg,
const FirstFitSelection::Config& scfg
);
#endif
}
#endif // LIBNEST2D_H

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if(NOT TARGET clipper) # If there is a clipper target in the parent project we are good to go.
find_package(Clipper 6.1)
if(NOT CLIPPER_FOUND)
find_package(Subversion QUIET)
if(Subversion_FOUND)
set(URL_CLIPPER "https://svn.code.sf.net/p/polyclipping/code/trunk/cpp"
CACHE STRING "Clipper source code repository location.")
message(STATUS "Clipper not found so it will be downloaded.")
# Silently download and build the library in the build dir
if (CMAKE_VERSION VERSION_LESS 3.2)
set(UPDATE_DISCONNECTED_IF_AVAILABLE "")
else()
set(UPDATE_DISCONNECTED_IF_AVAILABLE "UPDATE_DISCONNECTED 1")
endif()
include(DownloadProject)
download_project( PROJ clipper_library
SVN_REPOSITORY ${URL_CLIPPER}
SVN_REVISION -r540
#SOURCE_SUBDIR cpp
INSTALL_COMMAND ""
CONFIGURE_COMMAND "" # Not working, I will just add the source files
${UPDATE_DISCONNECTED_IF_AVAILABLE}
)
# This is not working and I dont have time to fix it
# add_subdirectory(${clipper_library_SOURCE_DIR}/cpp
# ${clipper_library_BINARY_DIR}
# )
add_library(ClipperBackend STATIC
${clipper_library_SOURCE_DIR}/clipper.cpp
${clipper_library_SOURCE_DIR}/clipper.hpp)
target_include_directories(ClipperBackend INTERFACE
${clipper_library_SOURCE_DIR})
else()
message(FATAL_ERROR "Can't find clipper library and no SVN client found to download.
You can download the clipper sources and define a clipper target in your project, that will work for libnest2d.")
endif()
else()
add_library(ClipperBackend INTERFACE)
target_link_libraries(ClipperBackend INTERFACE Clipper::Clipper)
endif()
else()
# set(CLIPPER_INCLUDE_DIRS "" PARENT_SCOPE)
# set(CLIPPER_LIBRARIES clipper PARENT_SCOPE)
add_library(ClipperBackend INTERFACE)
target_link_libraries(ClipperBackend INTERFACE clipper)
endif()
# Clipper backend is not enough on its own, it still needs some functions
# from Boost geometry
if(NOT Boost_INCLUDE_DIRS_FOUND)
find_package(Boost 1.58 REQUIRED)
# TODO automatic download of boost geometry headers
endif()
target_include_directories(ClipperBackend INTERFACE ${Boost_INCLUDE_DIRS} )
target_sources(ClipperBackend INTERFACE
${CMAKE_CURRENT_SOURCE_DIR}/geometries.hpp
${SRC_DIR}/libnest2d/utils/boost_alg.hpp )
target_compile_definitions(ClipperBackend INTERFACE LIBNEST2D_BACKEND_CLIPPER)
# And finally plug the ClipperBackend into libnest2d
target_link_libraries(libnest2d INTERFACE ClipperBackend)

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#ifndef CLIPPER_BACKEND_HPP
#define CLIPPER_BACKEND_HPP
#include <sstream>
#include <unordered_map>
#include <cassert>
#include <vector>
#include <iostream>
#include <libnest2d/geometry_traits.hpp>
#include <libnest2d/geometry_traits_nfp.hpp>
#include <clipper.hpp>
namespace ClipperLib {
using PointImpl = IntPoint;
using PathImpl = Path;
using HoleStore = std::vector<PathImpl>;
struct PolygonImpl {
PathImpl Contour;
HoleStore Holes;
inline PolygonImpl() = default;
inline explicit PolygonImpl(const PathImpl& cont): Contour(cont) {}
inline explicit PolygonImpl(const HoleStore& holes):
Holes(holes) {}
inline PolygonImpl(const Path& cont, const HoleStore& holes):
Contour(cont), Holes(holes) {}
inline explicit PolygonImpl(PathImpl&& cont): Contour(std::move(cont)) {}
inline explicit PolygonImpl(HoleStore&& holes): Holes(std::move(holes)) {}
inline PolygonImpl(Path&& cont, HoleStore&& holes):
Contour(std::move(cont)), Holes(std::move(holes)) {}
};
inline PointImpl& operator +=(PointImpl& p, const PointImpl& pa ) {
// This could be done with SIMD
p.X += pa.X;
p.Y += pa.Y;
return p;
}
inline PointImpl operator+(const PointImpl& p1, const PointImpl& p2) {
PointImpl ret = p1;
ret += p2;
return ret;
}
inline PointImpl& operator -=(PointImpl& p, const PointImpl& pa ) {
p.X -= pa.X;
p.Y -= pa.Y;
return p;
}
inline PointImpl operator -(PointImpl& p ) {
PointImpl ret = p;
ret.X = -ret.X;
ret.Y = -ret.Y;
return ret;
}
inline PointImpl operator-(const PointImpl& p1, const PointImpl& p2) {
PointImpl ret = p1;
ret -= p2;
return ret;
}
inline PointImpl& operator *=(PointImpl& p, const PointImpl& pa ) {
p.X *= pa.X;
p.Y *= pa.Y;
return p;
}
inline PointImpl operator*(const PointImpl& p1, const PointImpl& p2) {
PointImpl ret = p1;
ret *= p2;
return ret;
}
}
namespace libnest2d {
// Aliases for convinience
using ClipperLib::PointImpl;
using ClipperLib::PathImpl;
using ClipperLib::PolygonImpl;
using ClipperLib::HoleStore;
// Type of coordinate units used by Clipper
template<> struct CoordType<PointImpl> {
using Type = ClipperLib::cInt;
};
// Type of point used by Clipper
template<> struct PointType<PolygonImpl> {
using Type = PointImpl;
};
template<> struct PointType<PathImpl> {
using Type = PointImpl;
};
template<> struct PointType<PointImpl> {
using Type = PointImpl;
};
template<> struct CountourType<PolygonImpl> {
using Type = PathImpl;
};
template<> struct ShapeTag<PolygonImpl> { using Type = PolygonTag; };
template<> struct ShapeTag<PathImpl> { using Type = PathTag; };
template<> struct ShapeTag<TMultiShape<PolygonImpl>> {
using Type = MultiPolygonTag;
};
template<> struct PointType<TMultiShape<PolygonImpl>> {
using Type = PointImpl;
};
template<> struct HolesContainer<PolygonImpl> {
using Type = ClipperLib::Paths;
};
namespace pointlike {
// Tell libnest2d how to extract the X coord from a ClipperPoint object
template<> inline TCoord<PointImpl> x(const PointImpl& p)
{
return p.X;
}
// Tell libnest2d how to extract the Y coord from a ClipperPoint object
template<> inline TCoord<PointImpl> y(const PointImpl& p)
{
return p.Y;
}
// Tell libnest2d how to extract the X coord from a ClipperPoint object
template<> inline TCoord<PointImpl>& x(PointImpl& p)
{
return p.X;
}
// Tell libnest2d how to extract the Y coord from a ClipperPoint object
template<> inline TCoord<PointImpl>& y(PointImpl& p)
{
return p.Y;
}
}
#define DISABLE_BOOST_AREA
namespace _smartarea {
template<Orientation o>
inline double area(const PolygonImpl& /*sh*/) {
return std::nan("");
}
template<>
inline double area<Orientation::CLOCKWISE>(const PolygonImpl& sh) {
double a = 0;
std::for_each(sh.Holes.begin(), sh.Holes.end(), [&a](const PathImpl& h)
{
a -= ClipperLib::Area(h);
});
return -ClipperLib::Area(sh.Contour) + a;
}
template<>
inline double area<Orientation::COUNTER_CLOCKWISE>(const PolygonImpl& sh) {
double a = 0;
std::for_each(sh.Holes.begin(), sh.Holes.end(), [&a](const PathImpl& h)
{
a += ClipperLib::Area(h);
});
return ClipperLib::Area(sh.Contour) + a;
}
}
namespace shapelike {
// Tell libnest2d how to make string out of a ClipperPolygon object
template<> inline double area(const PolygonImpl& sh, const PolygonTag&)
{
return _smartarea::area<OrientationType<PolygonImpl>::Value>(sh);
}
template<> inline void offset(PolygonImpl& sh, TCoord<PointImpl> distance)
{
#define DISABLE_BOOST_OFFSET
using ClipperLib::ClipperOffset;
using ClipperLib::jtMiter;
using ClipperLib::etClosedPolygon;
using ClipperLib::Paths;
// If the input is not at least a triangle, we can not do this algorithm
if(sh.Contour.size() <= 3 ||
std::any_of(sh.Holes.begin(), sh.Holes.end(),
[](const PathImpl& p) { return p.size() <= 3; })
) throw GeometryException(GeomErr::OFFSET);
ClipperOffset offs;
Paths result;
offs.AddPath(sh.Contour, jtMiter, etClosedPolygon);
offs.AddPaths(sh.Holes, jtMiter, etClosedPolygon);
offs.Execute(result, static_cast<double>(distance));
// Offsetting reverts the orientation and also removes the last vertex
// so boost will not have a closed polygon.
bool found_the_contour = false;
for(auto& r : result) {
if(ClipperLib::Orientation(r)) {
// We don't like if the offsetting generates more than one contour
// but throwing would be an overkill. Instead, we should warn the
// caller about the inability to create correct geometries
if(!found_the_contour) {
sh.Contour = r;
ClipperLib::ReversePath(sh.Contour);
sh.Contour.push_back(sh.Contour.front());
found_the_contour = true;
} else {
dout() << "Warning: offsetting result is invalid!";
/* TODO warning */
}
} else {
// TODO If there are multiple contours we can't be sure which hole
// belongs to the first contour. (But in this case the situation is
// bad enough to let it go...)
sh.Holes.push_back(r);
ClipperLib::ReversePath(sh.Holes.back());
sh.Holes.back().push_back(sh.Holes.back().front());
}
}
}
// Tell libnest2d how to make string out of a ClipperPolygon object
template<> inline std::string toString(const PolygonImpl& sh)
{
std::stringstream ss;
ss << "Contour {\n";
for(auto p : sh.Contour) {
ss << "\t" << p.X << " " << p.Y << "\n";
}
ss << "}\n";
for(auto& h : sh.Holes) {
ss << "Holes {\n";
for(auto p : h) {
ss << "\t{\n";
ss << "\t\t" << p.X << " " << p.Y << "\n";
ss << "\t}\n";
}
ss << "}\n";
}
return ss.str();
}
template<>
inline PolygonImpl create(const PathImpl& path, const HoleStore& holes)
{
PolygonImpl p;
p.Contour = path;
// Expecting that the coordinate system Y axis is positive in upwards
// direction
if(ClipperLib::Orientation(p.Contour)) {
// Not clockwise then reverse the b*tch
ClipperLib::ReversePath(p.Contour);
}
p.Holes = holes;
for(auto& h : p.Holes) {
if(!ClipperLib::Orientation(h)) {
ClipperLib::ReversePath(h);
}
}
return p;
}
template<> inline PolygonImpl create( PathImpl&& path, HoleStore&& holes) {
PolygonImpl p;
p.Contour.swap(path);
// Expecting that the coordinate system Y axis is positive in upwards
// direction
if(ClipperLib::Orientation(p.Contour)) {
// Not clockwise then reverse the b*tch
ClipperLib::ReversePath(p.Contour);
}
p.Holes.swap(holes);
for(auto& h : p.Holes) {
if(!ClipperLib::Orientation(h)) {
ClipperLib::ReversePath(h);
}
}
return p;
}
template<>
inline const THolesContainer<PolygonImpl>& holes(const PolygonImpl& sh)
{
return sh.Holes;
}
template<> inline THolesContainer<PolygonImpl>& holes(PolygonImpl& sh)
{
return sh.Holes;
}
template<>
inline TContour<PolygonImpl>& hole(PolygonImpl& sh, unsigned long idx)
{
return sh.Holes[idx];
}
template<>
inline const TContour<PolygonImpl>& hole(const PolygonImpl& sh,
unsigned long idx)
{
return sh.Holes[idx];
}
template<> inline size_t holeCount(const PolygonImpl& sh)
{
return sh.Holes.size();
}
template<> inline PathImpl& contour(PolygonImpl& sh)
{
return sh.Contour;
}
template<>
inline const PathImpl& contour(const PolygonImpl& sh)
{
return sh.Contour;
}
#define DISABLE_BOOST_TRANSLATE
template<>
inline void translate(PolygonImpl& sh, const PointImpl& offs)
{
for(auto& p : sh.Contour) { p += offs; }
for(auto& hole : sh.Holes) for(auto& p : hole) { p += offs; }
}
#define DISABLE_BOOST_ROTATE
template<>
inline void rotate(PolygonImpl& sh, const Radians& rads)
{
using Coord = TCoord<PointImpl>;
auto cosa = rads.cos();
auto sina = rads.sin();
for(auto& p : sh.Contour) {
p = {
static_cast<Coord>(p.X * cosa - p.Y * sina),
static_cast<Coord>(p.X * sina + p.Y * cosa)
};
}
for(auto& hole : sh.Holes) for(auto& p : hole) {
p = {
static_cast<Coord>(p.X * cosa - p.Y * sina),
static_cast<Coord>(p.X * sina + p.Y * cosa)
};
}
}
} // namespace shapelike
#define DISABLE_BOOST_NFP_MERGE
inline std::vector<PolygonImpl> _merge(ClipperLib::Clipper& clipper) {
shapelike::Shapes<PolygonImpl> retv;
ClipperLib::PolyTree result;
clipper.Execute(ClipperLib::ctUnion, result, ClipperLib::pftNegative);
retv.reserve(static_cast<size_t>(result.Total()));
std::function<void(ClipperLib::PolyNode*, PolygonImpl&)> processHole;
auto processPoly = [&retv, &processHole](ClipperLib::PolyNode *pptr) {
PolygonImpl poly(pptr->Contour);
poly.Contour.push_back(poly.Contour.front());
for(auto h : pptr->Childs) { processHole(h, poly); }
retv.push_back(poly);
};
processHole = [&processPoly](ClipperLib::PolyNode *pptr, PolygonImpl& poly)
{
poly.Holes.push_back(pptr->Contour);
poly.Holes.back().push_back(poly.Holes.back().front());
for(auto c : pptr->Childs) processPoly(c);
};
auto traverse = [&processPoly] (ClipperLib::PolyNode *node)
{
for(auto ch : node->Childs) {
processPoly(ch);
}
};
traverse(&result);
return retv;
}
namespace nfp {
template<> inline std::vector<PolygonImpl>
merge(const std::vector<PolygonImpl>& shapes)
{
ClipperLib::Clipper clipper(ClipperLib::ioReverseSolution);
bool closed = true;
bool valid = true;
for(auto& path : shapes) {
valid &= clipper.AddPath(path.Contour, ClipperLib::ptSubject, closed);
for(auto& hole : path.Holes) {
valid &= clipper.AddPath(hole, ClipperLib::ptSubject, closed);
}
}
if(!valid) throw GeometryException(GeomErr::MERGE);
return _merge(clipper);
}
}
}
//#define DISABLE_BOOST_SERIALIZE
//#define DISABLE_BOOST_UNSERIALIZE
// All other operators and algorithms are implemented with boost
#include <libnest2d/utils/boost_alg.hpp>
#endif // CLIPPER_BACKEND_HPP

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#ifndef LIBNEST2D_CONFIG_HPP
#define LIBNEST2D_CONFIG_HPP
#ifndef NDEBUG
#include <iostream>
#endif
#include <stdexcept>
#include <string>
#include <cmath>
#include <type_traits>
#if defined(_MSC_VER) && _MSC_VER <= 1800 || __cplusplus < 201103L
#define BP2D_NOEXCEPT
#define BP2D_CONSTEXPR
#define BP2D_COMPILER_MSVC12
#elif __cplusplus >= 201103L
#define BP2D_NOEXCEPT noexcept
#define BP2D_CONSTEXPR constexpr
#endif
/*
* Debugging output dout and derr definition
*/
//#ifndef NDEBUG
//# define dout std::cout
//# define derr std::cerr
//#else
//# define dout 0 && std::cout
//# define derr 0 && std::cerr
//#endif
namespace libnest2d {
struct DOut {
#ifndef NDEBUG
std::ostream& out = std::cout;
#endif
};
struct DErr {
#ifndef NDEBUG
std::ostream& out = std::cerr;
#endif
};
template<class T>
inline DOut&& operator<<( DOut&& out, T&& d) {
#ifndef NDEBUG
out.out << d;
#endif
return std::move(out);
}
template<class T>
inline DErr&& operator<<( DErr&& out, T&& d) {
#ifndef NDEBUG
out.out << d;
#endif
return std::move(out);
}
inline DOut dout() { return DOut(); }
inline DErr derr() { return DErr(); }
template< class T >
struct remove_cvref {
using type = typename std::remove_cv<
typename std::remove_reference<T>::type>::type;
};
template< class T >
using remove_cvref_t = typename remove_cvref<T>::type;
template< class T >
using remove_ref_t = typename std::remove_reference<T>::type;
template<bool B, class T>
using enable_if_t = typename std::enable_if<B, T>::type;
template<class F, class...Args>
struct invoke_result {
using type = typename std::result_of<F(Args...)>::type;
};
template<class F, class...Args>
using invoke_result_t = typename invoke_result<F, Args...>::type;
/**
* A useful little tool for triggering static_assert error messages e.g. when
* a mandatory template specialization (implementation) is missing.
*
* \tparam T A template argument that may come from and outer template method.
*/
template<class T> struct always_false { enum { value = false }; };
const double BP2D_CONSTEXPR Pi = 3.141592653589793238463; // 2*std::acos(0);
const double BP2D_CONSTEXPR Pi_2 = 2*Pi;
/**
* @brief Only for the Radian and Degrees classes to behave as doubles.
*/
class Double {
protected:
double val_;
public:
Double(): val_(double{}) { }
Double(double d) : val_(d) { }
operator double() const BP2D_NOEXCEPT { return val_; }
operator double&() BP2D_NOEXCEPT { return val_; }
};
class Degrees;
/**
* @brief Data type representing radians. It supports conversion to degrees.
*/
class Radians: public Double {
mutable double sin_ = std::nan(""), cos_ = std::nan("");
public:
Radians(double rads = Double() ): Double(rads) {}
inline Radians(const Degrees& degs);
inline operator Degrees();
inline double toDegrees();
inline double sin() const {
if(std::isnan(sin_)) {
cos_ = std::cos(val_);
sin_ = std::sin(val_);
}
return sin_;
}
inline double cos() const {
if(std::isnan(cos_)) {
cos_ = std::cos(val_);
sin_ = std::sin(val_);
}
return cos_;
}
};
/**
* @brief Data type representing degrees. It supports conversion to radians.
*/
class Degrees: public Double {
public:
Degrees(double deg = Double()): Double(deg) {}
Degrees(const Radians& rads): Double( rads * 180/Pi ) {}
inline double toRadians() { return Radians(*this);}
};
inline bool operator==(const Degrees& deg, const Radians& rads) {
Degrees deg2 = rads;
auto diff = std::abs(deg - deg2);
return diff < 0.0001;
}
inline bool operator==(const Radians& rads, const Degrees& deg) {
return deg == rads;
}
inline Radians::operator Degrees() { return *this * 180/Pi; }
inline Radians::Radians(const Degrees &degs): Double( degs * Pi/180) {}
inline double Radians::toDegrees() { return operator Degrees(); }
enum class GeomErr : std::size_t {
OFFSET,
MERGE,
NFP
};
const std::string ERROR_STR[] = {
"Offsetting could not be done! An invalid geometry may have been added.",
"Error while merging geometries!",
"No fit polygon cannot be calculated."
};
class GeometryException: public std::exception {
virtual const std::string& errorstr(GeomErr errcode) const BP2D_NOEXCEPT {
return ERROR_STR[static_cast<std::size_t>(errcode)];
}
GeomErr errcode_;
public:
GeometryException(GeomErr code): errcode_(code) {}
GeomErr errcode() const { return errcode_; }
const char * what() const BP2D_NOEXCEPT override {
return errorstr(errcode_).c_str();
}
};
}
#endif // LIBNEST2D_CONFIG_HPP

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@ -0,0 +1,965 @@
#ifndef GEOMETRY_TRAITS_HPP
#define GEOMETRY_TRAITS_HPP
#include <string>
#include <type_traits>
#include <algorithm>
#include <array>
#include <vector>
#include <numeric>
#include <limits>
#include <iterator>
#include <cmath>
#include "common.hpp"
namespace libnest2d {
/// Getting the coordinate data type for a geometry class.
template<class GeomClass> struct CoordType { using Type = long; };
/// TCoord<GeomType> as shorthand for typename `CoordType<GeomType>::Type`.
template<class GeomType>
using TCoord = typename CoordType<remove_cvref_t<GeomType>>::Type;
/// Getting the type of point structure used by a shape.
template<class Sh> struct PointType { using Type = typename Sh::PointType; };
/// TPoint<ShapeClass> as shorthand for `typename PointType<ShapeClass>::Type`.
template<class Shape>
using TPoint = typename PointType<remove_cvref_t<Shape>>::Type;
template<class RawShape> struct CountourType { using Type = RawShape; };
template<class RawShape>
using TContour = typename CountourType<remove_cvref_t<RawShape>>::Type;
template<class RawShape>
struct HolesContainer { using Type = std::vector<TContour<RawShape>>; };
template<class RawShape>
using THolesContainer = typename HolesContainer<remove_cvref_t<RawShape>>::Type;
template<class RawShape>
struct LastPointIsFirst { static const bool Value = true; };
enum class Orientation {
CLOCKWISE,
COUNTER_CLOCKWISE
};
template<class RawShape>
struct OrientationType {
// Default Polygon orientation that the library expects
static const Orientation Value = Orientation::CLOCKWISE;
};
/**
* \brief A point pair base class for other point pairs (segment, box, ...).
* \tparam RawPoint The actual point type to use.
*/
template<class RawPoint>
struct PointPair {
RawPoint p1;
RawPoint p2;
};
struct PolygonTag {};
struct PathTag {};
struct MultiPolygonTag {};
struct BoxTag {};
struct CircleTag {};
template<class Shape> struct ShapeTag { using Type = typename Shape::Tag; };
template<class S> using Tag = typename ShapeTag<remove_cvref_t<S>>::Type;
template<class S> struct MultiShape { using Type = std::vector<S>; };
template<class S>
using TMultiShape =typename MultiShape<remove_cvref_t<S>>::Type;
/**
* \brief An abstraction of a box;
*/
template<class RawPoint>
class _Box: PointPair<RawPoint> {
using PointPair<RawPoint>::p1;
using PointPair<RawPoint>::p2;
public:
using Tag = BoxTag;
using PointType = RawPoint;
inline _Box() = default;
inline _Box(const RawPoint& p, const RawPoint& pp):
PointPair<RawPoint>({p, pp}) {}
inline _Box(TCoord<RawPoint> width, TCoord<RawPoint> height):
_Box(RawPoint{0, 0}, RawPoint{width, height}) {}
inline const RawPoint& minCorner() const BP2D_NOEXCEPT { return p1; }
inline const RawPoint& maxCorner() const BP2D_NOEXCEPT { return p2; }
inline RawPoint& minCorner() BP2D_NOEXCEPT { return p1; }
inline RawPoint& maxCorner() BP2D_NOEXCEPT { return p2; }
inline TCoord<RawPoint> width() const BP2D_NOEXCEPT;
inline TCoord<RawPoint> height() const BP2D_NOEXCEPT;
inline RawPoint center() const BP2D_NOEXCEPT;
inline double area() const BP2D_NOEXCEPT {
return double(width()*height());
}
};
template<class RawPoint>
class _Circle {
RawPoint center_;
double radius_ = 0;
public:
using Tag = CircleTag;
using PointType = RawPoint;
_Circle() = default;
_Circle(const RawPoint& center, double r): center_(center), radius_(r) {}
inline const RawPoint& center() const BP2D_NOEXCEPT { return center_; }
inline const void center(const RawPoint& c) { center_ = c; }
inline double radius() const BP2D_NOEXCEPT { return radius_; }
inline void radius(double r) { radius_ = r; }
inline double area() const BP2D_NOEXCEPT {
return 2.0*Pi*radius_*radius_;
}
};
/**
* \brief An abstraction of a directed line segment with two points.
*/
template<class RawPoint>
class _Segment: PointPair<RawPoint> {
using PointPair<RawPoint>::p1;
using PointPair<RawPoint>::p2;
mutable Radians angletox_ = std::nan("");
public:
using PointType = RawPoint;
inline _Segment() = default;
inline _Segment(const RawPoint& p, const RawPoint& pp):
PointPair<RawPoint>({p, pp}) {}
/**
* @brief Get the first point.
* @return Returns the starting point.
*/
inline const RawPoint& first() const BP2D_NOEXCEPT { return p1; }
/**
* @brief The end point.
* @return Returns the end point of the segment.
*/
inline const RawPoint& second() const BP2D_NOEXCEPT { return p2; }
inline void first(const RawPoint& p) BP2D_NOEXCEPT
{
angletox_ = std::nan(""); p1 = p;
}
inline void second(const RawPoint& p) BP2D_NOEXCEPT {
angletox_ = std::nan(""); p2 = p;
}
/// Returns the angle measured to the X (horizontal) axis.
inline Radians angleToXaxis() const;
/// The length of the segment in the measure of the coordinate system.
inline double length();
};
// This struct serves almost as a namespace. The only difference is that is can
// used in friend declarations.
namespace pointlike {
template<class RawPoint>
inline TCoord<RawPoint> x(const RawPoint& p)
{
return p.x();
}
template<class RawPoint>
inline TCoord<RawPoint> y(const RawPoint& p)
{
return p.y();
}
template<class RawPoint>
inline TCoord<RawPoint>& x(RawPoint& p)
{
return p.x();
}
template<class RawPoint>
inline TCoord<RawPoint>& y(RawPoint& p)
{
return p.y();
}
template<class RawPoint>
inline double distance(const RawPoint& /*p1*/, const RawPoint& /*p2*/)
{
static_assert(always_false<RawPoint>::value,
"PointLike::distance(point, point) unimplemented!");
return 0;
}
template<class RawPoint>
inline double distance(const RawPoint& /*p1*/,
const _Segment<RawPoint>& /*s*/)
{
static_assert(always_false<RawPoint>::value,
"PointLike::distance(point, segment) unimplemented!");
return 0;
}
template<class RawPoint>
inline std::pair<TCoord<RawPoint>, bool> horizontalDistance(
const RawPoint& p, const _Segment<RawPoint>& s)
{
using Unit = TCoord<RawPoint>;
auto x = pointlike::x(p), y = pointlike::y(p);
auto x1 = pointlike::x(s.first()), y1 = pointlike::y(s.first());
auto x2 = pointlike::x(s.second()), y2 = pointlike::y(s.second());
TCoord<RawPoint> ret;
if( (y < y1 && y < y2) || (y > y1 && y > y2) )
return {0, false};
if ((y == y1 && y == y2) && (x > x1 && x > x2))
ret = std::min( x-x1, x -x2);
else if( (y == y1 && y == y2) && (x < x1 && x < x2))
ret = -std::min(x1 - x, x2 - x);
else if(std::abs(y - y1) <= std::numeric_limits<Unit>::epsilon() &&
std::abs(y - y2) <= std::numeric_limits<Unit>::epsilon())
ret = 0;
else
ret = x - x1 + (x1 - x2)*(y1 - y)/(y1 - y2);
return {ret, true};
}
template<class RawPoint>
inline std::pair<TCoord<RawPoint>, bool> verticalDistance(
const RawPoint& p, const _Segment<RawPoint>& s)
{
using Unit = TCoord<RawPoint>;
auto x = pointlike::x(p), y = pointlike::y(p);
auto x1 = pointlike::x(s.first()), y1 = pointlike::y(s.first());
auto x2 = pointlike::x(s.second()), y2 = pointlike::y(s.second());
TCoord<RawPoint> ret;
if( (x < x1 && x < x2) || (x > x1 && x > x2) )
return {0, false};
if ((x == x1 && x == x2) && (y > y1 && y > y2))
ret = std::min( y-y1, y -y2);
else if( (x == x1 && x == x2) && (y < y1 && y < y2))
ret = -std::min(y1 - y, y2 - y);
else if(std::abs(x - x1) <= std::numeric_limits<Unit>::epsilon() &&
std::abs(x - x2) <= std::numeric_limits<Unit>::epsilon())
ret = 0;
else
ret = y - y1 + (y1 - y2)*(x1 - x)/(x1 - x2);
return {ret, true};
}
}
template<class RawPoint>
TCoord<RawPoint> _Box<RawPoint>::width() const BP2D_NOEXCEPT
{
return pointlike::x(maxCorner()) - pointlike::x(minCorner());
}
template<class RawPoint>
TCoord<RawPoint> _Box<RawPoint>::height() const BP2D_NOEXCEPT
{
return pointlike::y(maxCorner()) - pointlike::y(minCorner());
}
template<class RawPoint>
TCoord<RawPoint> getX(const RawPoint& p) { return pointlike::x<RawPoint>(p); }
template<class RawPoint>
TCoord<RawPoint> getY(const RawPoint& p) { return pointlike::y<RawPoint>(p); }
template<class RawPoint>
void setX(RawPoint& p, const TCoord<RawPoint>& val)
{
pointlike::x<RawPoint>(p) = val;
}
template<class RawPoint>
void setY(RawPoint& p, const TCoord<RawPoint>& val)
{
pointlike::y<RawPoint>(p) = val;
}
template<class RawPoint>
inline Radians _Segment<RawPoint>::angleToXaxis() const
{
if(std::isnan(static_cast<double>(angletox_))) {
TCoord<RawPoint> dx = getX(second()) - getX(first());
TCoord<RawPoint> dy = getY(second()) - getY(first());
double a = std::atan2(dy, dx);
auto s = std::signbit(a);
if(s) a += Pi_2;
angletox_ = a;
}
return angletox_;
}
template<class RawPoint>
inline double _Segment<RawPoint>::length()
{
return pointlike::distance(first(), second());
}
template<class RawPoint>
inline RawPoint _Box<RawPoint>::center() const BP2D_NOEXCEPT {
auto& minc = minCorner();
auto& maxc = maxCorner();
using Coord = TCoord<RawPoint>;
RawPoint ret = { // No rounding here, we dont know if these are int coords
static_cast<Coord>( (getX(minc) + getX(maxc))/2.0 ),
static_cast<Coord>( (getY(minc) + getY(maxc))/2.0 )
};
return ret;
}
enum class Formats {
WKT,
SVG
};
// This struct serves as a namespace. The only difference is that it can be
// used in friend declarations and can be aliased at class scope.
namespace shapelike {
template<class RawShape>
using Shapes = TMultiShape<RawShape>;
template<class RawShape>
inline RawShape create(const TContour<RawShape>& contour,
const THolesContainer<RawShape>& holes)
{
return RawShape(contour, holes);
}
template<class RawShape>
inline RawShape create(TContour<RawShape>&& contour,
THolesContainer<RawShape>&& holes)
{
return RawShape(contour, holes);
}
template<class RawShape>
inline RawShape create(const TContour<RawShape>& contour)
{
return create<RawShape>(contour, {});
}
template<class RawShape>
inline RawShape create(TContour<RawShape>&& contour)
{
return create<RawShape>(contour, {});
}
template<class RawShape>
inline THolesContainer<RawShape>& holes(RawShape& /*sh*/)
{
static THolesContainer<RawShape> empty;
return empty;
}
template<class RawShape>
inline const THolesContainer<RawShape>& holes(const RawShape& /*sh*/)
{
static THolesContainer<RawShape> empty;
return empty;
}
template<class RawShape>
inline TContour<RawShape>& hole(RawShape& sh, unsigned long idx)
{
return holes(sh)[idx];
}
template<class RawShape>
inline const TContour<RawShape>& hole(const RawShape& sh, unsigned long idx)
{
return holes(sh)[idx];
}
template<class RawShape>
inline size_t holeCount(const RawShape& sh)
{
return holes(sh).size();
}
template<class RawShape>
inline TContour<RawShape>& contour(RawShape& sh)
{
static_assert(always_false<RawShape>::value,
"shapelike::contour() unimplemented!");
return sh;
}
template<class RawShape>
inline const TContour<RawShape>& contour(const RawShape& sh)
{
static_assert(always_false<RawShape>::value,
"shapelike::contour() unimplemented!");
return sh;
}
// Optional, does nothing by default
template<class RawPath>
inline void reserve(RawPath& p, size_t vertex_capacity, const PathTag&)
{
p.reserve(vertex_capacity);
}
template<class RawShape, class...Args>
inline void addVertex(RawShape& sh, const PathTag&, Args...args)
{
return sh.emplace_back(std::forward<Args>(args)...);
}
template<class RawShape, class Fn>
inline void foreachVertex(RawShape& sh, Fn fn, const PathTag&) {
std::for_each(sh.begin(), sh.end(), fn);
}
template<class RawShape>
inline typename RawShape::iterator begin(RawShape& sh, const PathTag&)
{
return sh.begin();
}
template<class RawShape>
inline typename RawShape::iterator end(RawShape& sh, const PathTag&)
{
return sh.end();
}
template<class RawShape>
inline typename RawShape::const_iterator
cbegin(const RawShape& sh, const PathTag&)
{
return sh.cbegin();
}
template<class RawShape>
inline typename RawShape::const_iterator
cend(const RawShape& sh, const PathTag&)
{
return sh.cend();
}
template<class RawShape>
inline std::string toString(const RawShape& /*sh*/)
{
return "";
}
template<Formats, class RawShape>
inline std::string serialize(const RawShape& /*sh*/, double /*scale*/=1)
{
static_assert(always_false<RawShape>::value,
"shapelike::serialize() unimplemented!");
return "";
}
template<Formats, class RawShape>
inline void unserialize(RawShape& /*sh*/, const std::string& /*str*/)
{
static_assert(always_false<RawShape>::value,
"shapelike::unserialize() unimplemented!");
}
template<class RawShape>
inline double area(const RawShape& /*sh*/, const PolygonTag&)
{
static_assert(always_false<RawShape>::value,
"shapelike::area() unimplemented!");
return 0;
}
template<class RawShape>
inline bool intersects(const RawShape& /*sh*/, const RawShape& /*sh*/)
{
static_assert(always_false<RawShape>::value,
"shapelike::intersects() unimplemented!");
return false;
}
template<class RawShape>
inline bool isInside(const TPoint<RawShape>& /*point*/,
const RawShape& /*shape*/)
{
static_assert(always_false<RawShape>::value,
"shapelike::isInside(point, shape) unimplemented!");
return false;
}
template<class RawShape>
inline bool isInside(const RawShape& /*shape*/,
const RawShape& /*shape*/)
{
static_assert(always_false<RawShape>::value,
"shapelike::isInside(shape, shape) unimplemented!");
return false;
}
template<class RawShape>
inline bool touches( const RawShape& /*shape*/,
const RawShape& /*shape*/)
{
static_assert(always_false<RawShape>::value,
"shapelike::touches(shape, shape) unimplemented!");
return false;
}
template<class RawShape>
inline bool touches( const TPoint<RawShape>& /*point*/,
const RawShape& /*shape*/)
{
static_assert(always_false<RawShape>::value,
"shapelike::touches(point, shape) unimplemented!");
return false;
}
template<class RawShape>
inline _Box<TPoint<RawShape>> boundingBox(const RawShape& /*sh*/,
const PolygonTag&)
{
static_assert(always_false<RawShape>::value,
"shapelike::boundingBox(shape) unimplemented!");
}
template<class RawShapes>
inline _Box<TPoint<typename RawShapes::value_type>>
boundingBox(const RawShapes& /*sh*/, const MultiPolygonTag&)
{
static_assert(always_false<RawShapes>::value,
"shapelike::boundingBox(shapes) unimplemented!");
}
template<class RawShape>
inline RawShape convexHull(const RawShape& /*sh*/, const PolygonTag&)
{
static_assert(always_false<RawShape>::value,
"shapelike::convexHull(shape) unimplemented!");
return RawShape();
}
template<class RawShapes>
inline typename RawShapes::value_type
convexHull(const RawShapes& /*sh*/, const MultiPolygonTag&)
{
static_assert(always_false<RawShapes>::value,
"shapelike::convexHull(shapes) unimplemented!");
return typename RawShapes::value_type();
}
template<class RawShape>
inline void rotate(RawShape& /*sh*/, const Radians& /*rads*/)
{
static_assert(always_false<RawShape>::value,
"shapelike::rotate() unimplemented!");
}
template<class RawShape, class RawPoint>
inline void translate(RawShape& /*sh*/, const RawPoint& /*offs*/)
{
static_assert(always_false<RawShape>::value,
"shapelike::translate() unimplemented!");
}
template<class RawShape>
inline void offset(RawShape& /*sh*/, TCoord<TPoint<RawShape>> /*distance*/)
{
dout() << "The current geometry backend does not support offsetting!\n";
}
template<class RawShape>
inline std::pair<bool, std::string> isValid(const RawShape& /*sh*/)
{
return {false, "shapelike::isValid() unimplemented!"};
}
template<class RawPath> inline bool isConvex(const RawPath& sh, const PathTag&)
{
using Vertex = TPoint<RawPath>;
auto first = begin(sh);
auto middle = std::next(first);
auto last = std::next(middle);
using CVrRef = const Vertex&;
auto zcrossproduct = [](CVrRef k, CVrRef k1, CVrRef k2) {
auto dx1 = getX(k1) - getX(k);
auto dy1 = getY(k1) - getY(k);
auto dx2 = getX(k2) - getX(k1);
auto dy2 = getY(k2) - getY(k1);
return dx1*dy2 - dy1*dx2;
};
auto firstprod = zcrossproduct( *(std::prev(std::prev(end(sh)))),
*first,
*middle );
bool ret = true;
bool frsign = firstprod > 0;
while(last != end(sh)) {
auto &k = *first, &k1 = *middle, &k2 = *last;
auto zc = zcrossproduct(k, k1, k2);
ret &= frsign == (zc > 0);
++first; ++middle; ++last;
}
return ret;
}
// *****************************************************************************
// No need to implement these
// *****************************************************************************
template<class RawShape>
inline typename TContour<RawShape>::iterator
begin(RawShape& sh, const PolygonTag& t)
{
return begin(contour(sh), PathTag());
}
template<class RawShape> // Tag dispatcher
inline auto begin(RawShape& sh) -> decltype(begin(sh, Tag<RawShape>()))
{
return begin(sh, Tag<RawShape>());
}
template<class RawShape>
inline typename TContour<RawShape>::const_iterator
cbegin(const RawShape& sh, const PolygonTag&)
{
return cbegin(contour(sh), PathTag());
}
template<class RawShape> // Tag dispatcher
inline auto cbegin(const RawShape& sh) -> decltype(cbegin(sh, Tag<RawShape>()))
{
return cbegin(sh, Tag<RawShape>());
}
template<class RawShape>
inline typename TContour<RawShape>::iterator
end(RawShape& sh, const PolygonTag&)
{
return end(contour(sh), PathTag());
}
template<class RawShape> // Tag dispatcher
inline auto end(RawShape& sh) -> decltype(begin(sh, Tag<RawShape>()))
{
return end(sh, Tag<RawShape>());
}
template<class RawShape>
inline typename TContour<RawShape>::const_iterator
cend(const RawShape& sh, const PolygonTag&)
{
return cend(contour(sh), PathTag());
}
template<class RawShape> // Tag dispatcher
inline auto cend(const RawShape& sh) -> decltype(cend(sh, Tag<RawShape>()))
{
return cend(sh, Tag<RawShape>());
}
template<class It> std::reverse_iterator<It> _backward(It iter) {
return std::reverse_iterator<It>(iter);
}
template<class P> auto rbegin(P& p) -> decltype(_backward(end(p)))
{
return _backward(end(p));
}
template<class P> auto rcbegin(const P& p) -> decltype(_backward(end(p)))
{
return _backward(end(p));
}
template<class P> auto rend(P& p) -> decltype(_backward(begin(p)))
{
return _backward(begin(p));
}
template<class P> auto rcend(const P& p) -> decltype(_backward(cbegin(p)))
{
return _backward(cbegin(p));
}
template<class P> TPoint<P> front(const P& p) { return *shapelike::cbegin(p); }
template<class P> TPoint<P> back (const P& p) {
return *backward(shapelike::cend(p));
}
// Optional, does nothing by default
template<class RawShape>
inline void reserve(RawShape& sh, size_t vertex_capacity, const PolygonTag&)
{
reserve(contour(sh), vertex_capacity, PathTag());
}
template<class T> // Tag dispatcher
inline void reserve(T& sh, size_t vertex_capacity) {
reserve(sh, vertex_capacity, Tag<T>());
}
template<class RawShape, class...Args>
inline void addVertex(RawShape& sh, const PolygonTag&, Args...args)
{
return addVertex(contour(sh), PathTag(), std::forward<Args>(args)...);
}
template<class RawShape, class...Args> // Tag dispatcher
inline void addVertex(RawShape& sh, Args...args)
{
return addVertex(sh, Tag<RawShape>(), std::forward<Args>(args)...);
}
template<class Box>
inline Box boundingBox(const Box& box, const BoxTag& )
{
return box;
}
template<class Circle>
inline _Box<typename Circle::PointType> boundingBox(
const Circle& circ, const CircleTag&)
{
using Point = typename Circle::PointType;
using Coord = TCoord<Point>;
Point pmin = {
static_cast<Coord>(getX(circ.center()) - circ.radius()),
static_cast<Coord>(getY(circ.center()) - circ.radius()) };
Point pmax = {
static_cast<Coord>(getX(circ.center()) + circ.radius()),
static_cast<Coord>(getY(circ.center()) + circ.radius()) };
return {pmin, pmax};
}
template<class S> // Dispatch function
inline _Box<TPoint<S>> boundingBox(const S& sh)
{
return boundingBox(sh, Tag<S>() );
}
template<class Box>
inline double area(const Box& box, const BoxTag& )
{
return box.area();
}
template<class Circle>
inline double area(const Circle& circ, const CircleTag& )
{
return circ.area();
}
template<class RawShape> // Dispatching function
inline double area(const RawShape& sh)
{
return area(sh, Tag<RawShape>());
}
template<class RawShapes>
inline double area(const RawShapes& shapes, const MultiPolygonTag&)
{
using RawShape = typename RawShapes::value_type;
return std::accumulate(shapes.begin(), shapes.end(), 0.0,
[](double a, const RawShape& b) {
return a += area(b);
});
}
template<class RawShape>
inline auto convexHull(const RawShape& sh)
-> decltype(convexHull(sh, Tag<RawShape>())) // TODO: C++14 could deduce
{
return convexHull(sh, Tag<RawShape>());
}
template<class RawShape>
inline bool isInside(const TPoint<RawShape>& point,
const _Circle<TPoint<RawShape>>& circ)
{
return pointlike::distance(point, circ.center()) < circ.radius();
}
template<class RawShape>
inline bool isInside(const TPoint<RawShape>& point,
const _Box<TPoint<RawShape>>& box)
{
auto px = getX(point);
auto py = getY(point);
auto minx = getX(box.minCorner());
auto miny = getY(box.minCorner());
auto maxx = getX(box.maxCorner());
auto maxy = getY(box.maxCorner());
return px > minx && px < maxx && py > miny && py < maxy;
}
template<class RawShape>
inline bool isInside(const RawShape& sh,
const _Circle<TPoint<RawShape>>& circ)
{
return std::all_of(cbegin(sh), cend(sh),
[&circ](const TPoint<RawShape>& p){
return isInside<RawShape>(p, circ);
});
}
template<class RawShape>
inline bool isInside(const _Box<TPoint<RawShape>>& box,
const _Circle<TPoint<RawShape>>& circ)
{
return isInside<RawShape>(box.minCorner(), circ) &&
isInside<RawShape>(box.maxCorner(), circ);
}
template<class RawShape>
inline bool isInside(const _Box<TPoint<RawShape>>& ibb,
const _Box<TPoint<RawShape>>& box)
{
auto iminX = getX(ibb.minCorner());
auto imaxX = getX(ibb.maxCorner());
auto iminY = getY(ibb.minCorner());
auto imaxY = getY(ibb.maxCorner());
auto minX = getX(box.minCorner());
auto maxX = getX(box.maxCorner());
auto minY = getY(box.minCorner());
auto maxY = getY(box.maxCorner());
return iminX > minX && imaxX < maxX && iminY > minY && imaxY < maxY;
}
template<class RawShape> // Potential O(1) implementation may exist
inline TPoint<RawShape>& vertex(RawShape& sh, unsigned long idx,
const PolygonTag&)
{
return *(shapelike::begin(contour(sh)) + idx);
}
template<class RawShape> // Potential O(1) implementation may exist
inline TPoint<RawShape>& vertex(RawShape& sh, unsigned long idx,
const PathTag&)
{
return *(shapelike::begin(sh) + idx);
}
template<class RawShape> // Potential O(1) implementation may exist
inline TPoint<RawShape>& vertex(RawShape& sh, unsigned long idx)
{
return vertex(sh, idx, Tag<RawShape>());
}
template<class RawShape> // Potential O(1) implementation may exist
inline const TPoint<RawShape>& vertex(const RawShape& sh,
unsigned long idx,
const PolygonTag&)
{
return *(shapelike::cbegin(contour(sh)) + idx);
}
template<class RawShape> // Potential O(1) implementation may exist
inline const TPoint<RawShape>& vertex(const RawShape& sh,
unsigned long idx,
const PathTag&)
{
return *(shapelike::cbegin(sh) + idx);
}
template<class RawShape> // Potential O(1) implementation may exist
inline const TPoint<RawShape>& vertex(const RawShape& sh,
unsigned long idx)
{
return vertex(sh, idx, Tag<RawShape>());
}
template<class RawShape>
inline size_t contourVertexCount(const RawShape& sh)
{
return shapelike::cend(sh) - shapelike::cbegin(sh);
}
template<class RawShape, class Fn>
inline void foreachVertex(RawShape& sh, Fn fn, const PolygonTag&) {
foreachVertex(contour(sh), fn, PathTag());
for(auto& h : holes(sh)) foreachVertex(h, fn, PathTag());
}
template<class RawShape, class Fn>
inline void foreachVertex(RawShape& sh, Fn fn) {
foreachVertex(sh, fn, Tag<RawShape>());
}
template<class Poly> inline bool isConvex(const Poly& sh, const PolygonTag&)
{
bool convex = true;
convex &= isConvex(contour(sh), PathTag());
convex &= holeCount(sh) == 0;
return convex;
}
template<class RawShape> inline bool isConvex(const RawShape& sh) // dispatch
{
return isConvex(sh, Tag<RawShape>());
}
}
#define DECLARE_MAIN_TYPES(T) \
using Polygon = T; \
using Point = TPoint<T>; \
using Coord = TCoord<Point>; \
using Contour = TContour<T>; \
using Box = _Box<Point>; \
using Circle = _Circle<Point>; \
using Segment = _Segment<Point>; \
using Polygons = TMultiShape<T>
}
#endif // GEOMETRY_TRAITS_HPP

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#ifndef GEOMETRIES_NOFITPOLYGON_HPP
#define GEOMETRIES_NOFITPOLYGON_HPP
#include "geometry_traits.hpp"
#include <algorithm>
#include <functional>
#include <vector>
#include <iterator>
namespace libnest2d {
namespace __nfp {
// Do not specialize this...
template<class RawShape>
inline bool _vsort(const TPoint<RawShape>& v1, const TPoint<RawShape>& v2)
{
using Coord = TCoord<TPoint<RawShape>>;
Coord &&x1 = getX(v1), &&x2 = getX(v2), &&y1 = getY(v1), &&y2 = getY(v2);
auto diff = y1 - y2;
if(std::abs(diff) <= std::numeric_limits<Coord>::epsilon())
return x1 < x2;
return diff < 0;
}
template<class EdgeList, class RawShape, class Vertex = TPoint<RawShape>>
inline void buildPolygon(const EdgeList& edgelist,
RawShape& rpoly,
Vertex& top_nfp)
{
namespace sl = shapelike;
auto& rsh = sl::contour(rpoly);
sl::reserve(rsh, 2*edgelist.size());
// Add the two vertices from the first edge into the final polygon.
sl::addVertex(rsh, edgelist.front().first());
sl::addVertex(rsh, edgelist.front().second());
// Sorting function for the nfp reference vertex search
auto& cmp = _vsort<RawShape>;
// the reference (rightmost top) vertex so far
top_nfp = *std::max_element(sl::cbegin(rsh), sl::cend(rsh), cmp );
auto tmp = std::next(sl::begin(rsh));
// Construct final nfp by placing each edge to the end of the previous
for(auto eit = std::next(edgelist.begin());
eit != edgelist.end();
++eit)
{
auto d = *tmp - eit->first();
Vertex p = eit->second() + d;
sl::addVertex(rsh, p);
// Set the new reference vertex
if(cmp(top_nfp, p)) top_nfp = p;
tmp = std::next(tmp);
}
}
template<class Container, class Iterator = typename Container::iterator>
void advance(Iterator& it, Container& cont, bool direction)
{
int dir = direction ? 1 : -1;
if(dir < 0 && it == cont.begin()) it = std::prev(cont.end());
else it += dir;
if(dir > 0 && it == cont.end()) it = cont.begin();
}
}
/// A collection of static methods for handling the no fit polygon creation.
namespace nfp {
const double BP2D_CONSTEXPR TwoPi = 2*Pi;
/// The complexity level of a polygon that an NFP implementation can handle.
enum class NfpLevel: unsigned {
CONVEX_ONLY,
ONE_CONVEX,
BOTH_CONCAVE,
ONE_CONVEX_WITH_HOLES,
BOTH_CONCAVE_WITH_HOLES
};
template<class RawShape>
using NfpResult = std::pair<RawShape, TPoint<RawShape>>;
template<class RawShape> struct MaxNfpLevel {
static const BP2D_CONSTEXPR NfpLevel value = NfpLevel::CONVEX_ONLY;
};
// Shorthand for a pile of polygons
template<class RawShape>
using Shapes = TMultiShape<RawShape>;
/**
* Merge a bunch of polygons with the specified additional polygon.
*
* \tparam RawShape the Polygon data type.
* \param shc The pile of polygons that will be unified with sh.
* \param sh A single polygon to unify with shc.
*
* \return A set of polygons that is the union of the input polygons. Note that
* mostly it will be a set containing only one big polygon but if the input
* polygons are disjunct than the resulting set will contain more polygons.
*/
template<class RawShapes>
inline RawShapes merge(const RawShapes& /*shc*/)
{
static_assert(always_false<RawShapes>::value,
"Nfp::merge(shapes, shape) unimplemented!");
}
/**
* Merge a bunch of polygons with the specified additional polygon.
*
* \tparam RawShape the Polygon data type.
* \param shc The pile of polygons that will be unified with sh.
* \param sh A single polygon to unify with shc.
*
* \return A set of polygons that is the union of the input polygons. Note that
* mostly it will be a set containing only one big polygon but if the input
* polygons are disjunct than the resulting set will contain more polygons.
*/
template<class RawShape>
inline TMultiShape<RawShape> merge(const TMultiShape<RawShape>& shc,
const RawShape& sh)
{
auto m = nfp::merge(shc);
m.emplace_back(sh);
return nfp::merge(m);
}
/**
* Get the vertex of the polygon that is at the lowest values (bottom) in the Y
* axis and if there are more than one vertices on the same Y coordinate than
* the result will be the leftmost (with the highest X coordinate).
*/
template<class RawShape>
inline TPoint<RawShape> leftmostDownVertex(const RawShape& sh)
{
// find min x and min y vertex
auto it = std::min_element(shapelike::cbegin(sh), shapelike::cend(sh),
__nfp::_vsort<RawShape>);
return it == shapelike::cend(sh) ? TPoint<RawShape>() : *it;;
}
/**
* Get the vertex of the polygon that is at the highest values (top) in the Y
* axis and if there are more than one vertices on the same Y coordinate than
* the result will be the rightmost (with the lowest X coordinate).
*/
template<class RawShape>
TPoint<RawShape> rightmostUpVertex(const RawShape& sh)
{
// find max x and max y vertex
auto it = std::max_element(shapelike::cbegin(sh), shapelike::cend(sh),
__nfp::_vsort<RawShape>);
return it == shapelike::cend(sh) ? TPoint<RawShape>() : *it;
}
/**
* A method to get a vertex from a polygon that always maintains a relative
* position to the coordinate system: It is always the rightmost top vertex.
*
* This way it does not matter in what order the vertices are stored, the
* reference will be always the same for the same polygon.
*/
template<class RawShape>
inline TPoint<RawShape> referenceVertex(const RawShape& sh)
{
return rightmostUpVertex(sh);
}
/**
* The "trivial" Cuninghame-Green implementation of NFP for convex polygons.
*
* You can use this even if you provide implementations for the more complex
* cases (Through specializing the the NfpImpl struct). Currently, no other
* cases are covered in the library.
*
* Complexity should be no more than nlogn (std::sort) in the number of edges
* of the input polygons.
*
* \tparam RawShape the Polygon data type.
* \param sh The stationary polygon
* \param cother The orbiting polygon
* \return Returns a pair of the NFP and its reference vertex of the two input
* polygons which have to be strictly convex. The resulting NFP is proven to be
* convex as well in this case.
*
*/
template<class RawShape>
inline NfpResult<RawShape> nfpConvexOnly(const RawShape& sh,
const RawShape& other)
{
using Vertex = TPoint<RawShape>; using Edge = _Segment<Vertex>;
namespace sl = shapelike;
RawShape rsh; // Final nfp placeholder
Vertex top_nfp;
std::vector<Edge> edgelist;
auto cap = sl::contourVertexCount(sh) + sl::contourVertexCount(other);
// Reserve the needed memory
edgelist.reserve(cap);
sl::reserve(rsh, static_cast<unsigned long>(cap));
{ // place all edges from sh into edgelist
auto first = sl::cbegin(sh);
auto next = std::next(first);
while(next != sl::cend(sh)) {
edgelist.emplace_back(*(first), *(next));
++first; ++next;
}
}
{ // place all edges from other into edgelist
auto first = sl::cbegin(other);
auto next = std::next(first);
while(next != sl::cend(other)) {
edgelist.emplace_back(*(next), *(first));
++first; ++next;
}
}
// Sort the edges by angle to X axis.
std::sort(edgelist.begin(), edgelist.end(),
[](const Edge& e1, const Edge& e2)
{
return e1.angleToXaxis() > e2.angleToXaxis();
});
__nfp::buildPolygon(edgelist, rsh, top_nfp);
return {rsh, top_nfp};
}
template<class RawShape>
NfpResult<RawShape> nfpSimpleSimple(const RawShape& cstationary,
const RawShape& cother)
{
// Algorithms are from the original algorithm proposed in paper:
// https://eprints.soton.ac.uk/36850/1/CORMSIS-05-05.pdf
// /////////////////////////////////////////////////////////////////////////
// Algorithm 1: Obtaining the minkowski sum
// /////////////////////////////////////////////////////////////////////////
// I guess this is not a full minkowski sum of the two input polygons by
// definition. This yields a subset that is compatible with the next 2
// algorithms.
using Result = NfpResult<RawShape>;
using Vertex = TPoint<RawShape>;
using Coord = TCoord<Vertex>;
using Edge = _Segment<Vertex>;
namespace sl = shapelike;
using std::signbit;
using std::sort;
using std::vector;
using std::ref;
using std::reference_wrapper;
// TODO The original algorithms expects the stationary polygon in
// counter clockwise and the orbiter in clockwise order.
// So for preventing any further complication, I will make the input
// the way it should be, than make my way around the orientations.
// Reverse the stationary contour to counter clockwise
auto stcont = sl::contour(cstationary);
{
std::reverse(sl::begin(stcont), sl::end(stcont));
stcont.pop_back();
auto it = std::min_element(sl::begin(stcont), sl::end(stcont),
[](const Vertex& v1, const Vertex& v2) {
return getY(v1) < getY(v2);
});
std::rotate(sl::begin(stcont), it, sl::end(stcont));
sl::addVertex(stcont, sl::front(stcont));
}
RawShape stationary;
sl::contour(stationary) = stcont;
// Reverse the orbiter contour to counter clockwise
auto orbcont = sl::contour(cother);
{
std::reverse(orbcont.begin(), orbcont.end());
// Step 1: Make the orbiter reverse oriented
orbcont.pop_back();
auto it = std::min_element(orbcont.begin(), orbcont.end(),
[](const Vertex& v1, const Vertex& v2) {
return getY(v1) < getY(v2);
});
std::rotate(orbcont.begin(), it, orbcont.end());
orbcont.emplace_back(orbcont.front());
for(auto &v : orbcont) v = -v;
}
// Copy the orbiter (contour only), we will have to work on it
RawShape orbiter;
sl::contour(orbiter) = orbcont;
// An edge with additional data for marking it
struct MarkedEdge {
Edge e; Radians turn_angle = 0; bool is_turning_point = false;
MarkedEdge() = default;
MarkedEdge(const Edge& ed, Radians ta, bool tp):
e(ed), turn_angle(ta), is_turning_point(tp) {}
// debug
std::string label;
};
// Container for marked edges
using EdgeList = vector<MarkedEdge>;
EdgeList A, B;
// This is how an edge list is created from the polygons
auto fillEdgeList = [](EdgeList& L, const RawShape& ppoly, int dir) {
auto& poly = sl::contour(ppoly);
L.reserve(sl::contourVertexCount(poly));
if(dir > 0) {
auto it = poly.begin();
auto nextit = std::next(it);
double turn_angle = 0;
bool is_turn_point = false;
while(nextit != poly.end()) {
L.emplace_back(Edge(*it, *nextit), turn_angle, is_turn_point);
it++; nextit++;
}
} else {
auto it = sl::rbegin(poly);
auto nextit = std::next(it);
double turn_angle = 0;
bool is_turn_point = false;
while(nextit != sl::rend(poly)) {
L.emplace_back(Edge(*it, *nextit), turn_angle, is_turn_point);
it++; nextit++;
}
}
auto getTurnAngle = [](const Edge& e1, const Edge& e2) {
auto phi = e1.angleToXaxis();
auto phi_prev = e2.angleToXaxis();
auto turn_angle = phi-phi_prev;
if(turn_angle > Pi) turn_angle -= TwoPi;
if(turn_angle < -Pi) turn_angle += TwoPi;
return turn_angle;
};
auto eit = L.begin();
auto enext = std::next(eit);
eit->turn_angle = getTurnAngle(L.front().e, L.back().e);
while(enext != L.end()) {
enext->turn_angle = getTurnAngle( enext->e, eit->e);
eit->is_turning_point =
signbit(enext->turn_angle) != signbit(eit->turn_angle);
++eit; ++enext;
}
L.back().is_turning_point = signbit(L.back().turn_angle) !=
signbit(L.front().turn_angle);
};
// Step 2: Fill the edgelists
fillEdgeList(A, stationary, 1);
fillEdgeList(B, orbiter, 1);
int i = 1;
for(MarkedEdge& me : A) {
std::cout << "a" << i << ":\n\t"
<< getX(me.e.first()) << " " << getY(me.e.first()) << "\n\t"
<< getX(me.e.second()) << " " << getY(me.e.second()) << "\n\t"
<< "Turning point: " << (me.is_turning_point ? "yes" : "no")
<< std::endl;
me.label = "a"; me.label += std::to_string(i);
i++;
}
i = 1;
for(MarkedEdge& me : B) {
std::cout << "b" << i << ":\n\t"
<< getX(me.e.first()) << " " << getY(me.e.first()) << "\n\t"
<< getX(me.e.second()) << " " << getY(me.e.second()) << "\n\t"
<< "Turning point: " << (me.is_turning_point ? "yes" : "no")
<< std::endl;
me.label = "b"; me.label += std::to_string(i);
i++;
}
// A reference to a marked edge that also knows its container
struct MarkedEdgeRef {
reference_wrapper<MarkedEdge> eref;
reference_wrapper<vector<MarkedEdgeRef>> container;
Coord dir = 1; // Direction modifier
inline Radians angleX() const { return eref.get().e.angleToXaxis(); }
inline const Edge& edge() const { return eref.get().e; }
inline Edge& edge() { return eref.get().e; }
inline bool isTurningPoint() const {
return eref.get().is_turning_point;
}
inline bool isFrom(const vector<MarkedEdgeRef>& cont ) {
return &(container.get()) == &cont;
}
inline bool eq(const MarkedEdgeRef& mr) {
return &(eref.get()) == &(mr.eref.get());
}
MarkedEdgeRef(reference_wrapper<MarkedEdge> er,
reference_wrapper<vector<MarkedEdgeRef>> ec):
eref(er), container(ec), dir(1) {}
MarkedEdgeRef(reference_wrapper<MarkedEdge> er,
reference_wrapper<vector<MarkedEdgeRef>> ec,
Coord d):
eref(er), container(ec), dir(d) {}
};
using EdgeRefList = vector<MarkedEdgeRef>;
// Comparing two marked edges
auto sortfn = [](const MarkedEdgeRef& e1, const MarkedEdgeRef& e2) {
return e1.angleX() < e2.angleX();
};
EdgeRefList Aref, Bref; // We create containers for the references
Aref.reserve(A.size()); Bref.reserve(B.size());
// Fill reference container for the stationary polygon
std::for_each(A.begin(), A.end(), [&Aref](MarkedEdge& me) {
Aref.emplace_back( ref(me), ref(Aref) );
});
// Fill reference container for the orbiting polygon
std::for_each(B.begin(), B.end(), [&Bref](MarkedEdge& me) {
Bref.emplace_back( ref(me), ref(Bref) );
});
auto mink = [sortfn] // the Mink(Q, R, direction) sub-procedure
(const EdgeRefList& Q, const EdgeRefList& R, bool positive)
{
// Step 1 "merge sort_list(Q) and sort_list(R) to form merge_list(Q,R)"
// Sort the containers of edge references and merge them.
// Q could be sorted only once and be reused here but we would still
// need to merge it with sorted(R).
EdgeRefList merged;
EdgeRefList S, seq;
merged.reserve(Q.size() + R.size());
merged.insert(merged.end(), R.begin(), R.end());
std::stable_sort(merged.begin(), merged.end(), sortfn);
merged.insert(merged.end(), Q.begin(), Q.end());
std::stable_sort(merged.begin(), merged.end(), sortfn);
// Step 2 "set i = 1, k = 1, direction = 1, s1 = q1"
// we don't use i, instead, q is an iterator into Q. k would be an index
// into the merged sequence but we use "it" as an iterator for that
// here we obtain references for the containers for later comparisons
const auto& Rcont = R.begin()->container.get();
const auto& Qcont = Q.begin()->container.get();
// Set the initial direction
Coord dir = 1;
// roughly i = 1 (so q = Q.begin()) and s1 = q1 so S[0] = q;
if(positive) {
auto q = Q.begin();
S.emplace_back(*q);
// Roughly step 3
std::cout << "merged size: " << merged.size() << std::endl;
auto mit = merged.begin();
for(bool finish = false; !finish && q != Q.end();) {
++q; // "Set i = i + 1"
while(!finish && mit != merged.end()) {
if(mit->isFrom(Rcont)) {
auto s = *mit;
s.dir = dir;
S.emplace_back(s);
}
if(mit->eq(*q)) {
S.emplace_back(*q);
if(mit->isTurningPoint()) dir = -dir;
if(q == Q.begin()) finish = true;
break;
}
mit += dir;
// __nfp::advance(mit, merged, dir > 0);
}
}
} else {
auto q = Q.rbegin();
S.emplace_back(*q);
// Roughly step 3
std::cout << "merged size: " << merged.size() << std::endl;
auto mit = merged.begin();
for(bool finish = false; !finish && q != Q.rend();) {
++q; // "Set i = i + 1"
while(!finish && mit != merged.end()) {
if(mit->isFrom(Rcont)) {
auto s = *mit;
s.dir = dir;
S.emplace_back(s);
}
if(mit->eq(*q)) {
S.emplace_back(*q);
S.back().dir = -1;
if(mit->isTurningPoint()) dir = -dir;
if(q == Q.rbegin()) finish = true;
break;
}
mit += dir;
// __nfp::advance(mit, merged, dir > 0);
}
}
}
// Step 4:
// "Let starting edge r1 be in position si in sequence"
// whaaat? I guess this means the following:
auto it = S.begin();
while(!it->eq(*R.begin())) ++it;
// "Set j = 1, next = 2, direction = 1, seq1 = si"
// we don't use j, seq is expanded dynamically.
dir = 1;
auto next = std::next(R.begin()); seq.emplace_back(*it);
// Step 5:
// "If all si edges have been allocated to seqj" should mean that
// we loop until seq has equal size with S
auto send = it; //it == S.begin() ? it : std::prev(it);
while(it != S.end()) {
++it; if(it == S.end()) it = S.begin();
if(it == send) break;
if(it->isFrom(Qcont)) {
seq.emplace_back(*it); // "If si is from Q, j = j + 1, seqj = si"
// "If si is a turning point in Q,
// direction = - direction, next = next + direction"
if(it->isTurningPoint()) {
dir = -dir;
next += dir;
// __nfp::advance(next, R, dir > 0);
}
}
if(it->eq(*next) /*&& dir == next->dir*/) { // "If si = direction.rnext"
// "j = j + 1, seqj = si, next = next + direction"
seq.emplace_back(*it);
next += dir;
// __nfp::advance(next, R, dir > 0);
}
}
return seq;
};
std::vector<EdgeRefList> seqlist;
seqlist.reserve(Bref.size());
EdgeRefList Bslope = Bref; // copy Bref, we will make a slope diagram
// make the slope diagram of B
std::sort(Bslope.begin(), Bslope.end(), sortfn);
auto slopeit = Bslope.begin(); // search for the first turning point
while(!slopeit->isTurningPoint() && slopeit != Bslope.end()) slopeit++;
if(slopeit == Bslope.end()) {
// no turning point means convex polygon.
seqlist.emplace_back(mink(Aref, Bref, true));
} else {
int dir = 1;
auto firstturn = Bref.begin();
while(!firstturn->eq(*slopeit)) ++firstturn;
assert(firstturn != Bref.end());
EdgeRefList bgroup; bgroup.reserve(Bref.size());
bgroup.emplace_back(*slopeit);
auto b_it = std::next(firstturn);
while(b_it != firstturn) {
if(b_it == Bref.end()) b_it = Bref.begin();
while(!slopeit->eq(*b_it)) {
__nfp::advance(slopeit, Bslope, dir > 0);
}
if(!slopeit->isTurningPoint()) {
bgroup.emplace_back(*slopeit);
} else {
if(!bgroup.empty()) {
if(dir > 0) bgroup.emplace_back(*slopeit);
for(auto& me : bgroup) {
std::cout << me.eref.get().label << ", ";
}
std::cout << std::endl;
seqlist.emplace_back(mink(Aref, bgroup, dir == 1 ? true : false));
bgroup.clear();
if(dir < 0) bgroup.emplace_back(*slopeit);
} else {
bgroup.emplace_back(*slopeit);
}
dir *= -1;
}
++b_it;
}
}
// while(it != Bref.end()) // This is step 3 and step 4 in one loop
// if(it->isTurningPoint()) {
// R = {R.last, it++};
// auto seq = mink(Q, R, orientation);
// // TODO step 6 (should be 5 shouldn't it?): linking edges from A
// // I don't get this step
// seqlist.insert(seqlist.end(), seq.begin(), seq.end());
// orientation = !orientation;
// } else ++it;
// if(seqlist.empty()) seqlist = mink(Q, {Bref.begin(), Bref.end()}, true);
// /////////////////////////////////////////////////////////////////////////
// Algorithm 2: breaking Minkowski sums into track line trips
// /////////////////////////////////////////////////////////////////////////
// /////////////////////////////////////////////////////////////////////////
// Algorithm 3: finding the boundary of the NFP from track line trips
// /////////////////////////////////////////////////////////////////////////
for(auto& seq : seqlist) {
std::cout << "seqlist size: " << seq.size() << std::endl;
for(auto& s : seq) {
std::cout << (s.dir > 0 ? "" : "-") << s.eref.get().label << ", ";
}
std::cout << std::endl;
}
auto& seq = seqlist.front();
RawShape rsh;
Vertex top_nfp;
std::vector<Edge> edgelist; edgelist.reserve(seq.size());
for(auto& s : seq) {
edgelist.emplace_back(s.eref.get().e);
}
__nfp::buildPolygon(edgelist, rsh, top_nfp);
return Result(rsh, top_nfp);
}
// Specializable NFP implementation class. Specialize it if you have a faster
// or better NFP implementation
template<class RawShape, NfpLevel nfptype>
struct NfpImpl {
NfpResult<RawShape> operator()(const RawShape& sh, const RawShape& other)
{
static_assert(nfptype == NfpLevel::CONVEX_ONLY,
"Nfp::noFitPolygon() unimplemented!");
// Libnest2D has a default implementation for convex polygons and will
// use it if feasible.
return nfpConvexOnly(sh, other);
}
};
/// Helper function to get the NFP
template<NfpLevel nfptype, class RawShape>
inline NfpResult<RawShape> noFitPolygon(const RawShape& sh,
const RawShape& other)
{
NfpImpl<RawShape, nfptype> nfps;
return nfps(sh, other);
}
}
}
#endif // GEOMETRIES_NOFITPOLYGON_HPP

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#ifndef LIBNEST2D_HPP
#define LIBNEST2D_HPP
#include <memory>
#include <vector>
#include <map>
#include <array>
#include <algorithm>
#include <functional>
#include "geometry_traits.hpp"
namespace libnest2d {
namespace sl = shapelike;
namespace pl = pointlike;
/**
* \brief An item to be placed on a bin.
*
* It holds a copy of the original shape object but supports move construction
* from the shape objects if its an rvalue reference. This way we can construct
* the items without the cost of copying a potentially large amount of input.
*
* The results of some calculations are cached for maintaining fast run times.
* For this reason, memory demands are much higher but this should pay off.
*/
template<class RawShape>
class _Item {
using Coord = TCoord<TPoint<RawShape>>;
using Vertex = TPoint<RawShape>;
using Box = _Box<Vertex>;
using VertexConstIterator = typename TContour<RawShape>::const_iterator;
// The original shape that gets encapsulated.
RawShape sh_;
// Transformation data
Vertex translation_;
Radians rotation_;
Coord offset_distance_;
// Info about whether the transformations will have to take place
// This is needed because if floating point is used, it is hard to say
// that a zero angle is not a rotation because of testing for equality.
bool has_rotation_ = false, has_translation_ = false, has_offset_ = false;
// For caching the calculations as they can get pretty expensive.
mutable RawShape tr_cache_;
mutable bool tr_cache_valid_ = false;
mutable double area_cache_ = 0;
mutable bool area_cache_valid_ = false;
mutable RawShape offset_cache_;
mutable bool offset_cache_valid_ = false;
enum class Convexity: char {
UNCHECKED,
C_TRUE,
C_FALSE
};
mutable Convexity convexity_ = Convexity::UNCHECKED;
mutable VertexConstIterator rmt_; // rightmost top vertex
mutable VertexConstIterator lmb_; // leftmost bottom vertex
mutable bool rmt_valid_ = false, lmb_valid_ = false;
mutable struct BBCache {
Box bb; bool valid;
BBCache(): valid(false) {}
} bb_cache_;
public:
/// The type of the shape which was handed over as the template argument.
using ShapeType = RawShape;
/**
* \brief Iterator type for the outer vertices.
*
* Only const iterators can be used. The _Item type is not intended to
* modify the carried shapes from the outside. The main purpose of this type
* is to cache the calculation results from the various operators it
* supports. Giving out a non const iterator would make it impossible to
* perform correct cache invalidation.
*/
using Iterator = VertexConstIterator;
/**
* @brief Get the orientation of the polygon.
*
* The orientation have to be specified as a specialization of the
* OrientationType struct which has a Value constant.
*
* @return The orientation type identifier for the _Item type.
*/
static BP2D_CONSTEXPR Orientation orientation() {
return OrientationType<RawShape>::Value;
}
/**
* @brief Constructing an _Item form an existing raw shape. The shape will
* be copied into the _Item object.
* @param sh The original shape object.
*/
explicit inline _Item(const RawShape& sh): sh_(sh) {}
/**
* @brief Construction of an item by moving the content of the raw shape,
* assuming that it supports move semantics.
* @param sh The original shape object.
*/
explicit inline _Item(RawShape&& sh): sh_(std::move(sh)) {}
/**
* @brief Create an item from an initializer list.
* @param il The initializer list of vertices.
*/
inline _Item(const std::initializer_list< Vertex >& il):
sh_(sl::create<RawShape>(il)) {}
inline _Item(const TContour<RawShape>& contour,
const THolesContainer<RawShape>& holes = {}):
sh_(sl::create<RawShape>(contour, holes)) {}
inline _Item(TContour<RawShape>&& contour,
THolesContainer<RawShape>&& holes):
sh_(sl::create<RawShape>(std::move(contour),
std::move(holes))) {}
/**
* @brief Convert the polygon to string representation. The format depends
* on the implementation of the polygon.
* @return
*/
inline std::string toString() const
{
return sl::toString(sh_);
}
/// Iterator tho the first contour vertex in the polygon.
inline Iterator begin() const
{
return sl::cbegin(sh_);
}
/// Alias to begin()
inline Iterator cbegin() const
{
return sl::cbegin(sh_);
}
/// Iterator to the last contour vertex.
inline Iterator end() const
{
return sl::cend(sh_);
}
/// Alias to end()
inline Iterator cend() const
{
return sl::cend(sh_);
}
/**
* @brief Get a copy of an outer vertex within the carried shape.
*
* Note that the vertex considered here is taken from the original shape
* that this item is constructed from. This means that no transformation is
* applied to the shape in this call.
*
* @param idx The index of the requested vertex.
* @return A copy of the requested vertex.
*/
inline Vertex vertex(unsigned long idx) const
{
return sl::vertex(sh_, idx);
}
/**
* @brief Modify a vertex.
*
* Note that this method will invalidate every cached calculation result
* including polygon offset and transformations.
*
* @param idx The index of the requested vertex.
* @param v The new vertex data.
*/
inline void setVertex(unsigned long idx, const Vertex& v )
{
invalidateCache();
sl::vertex(sh_, idx) = v;
}
/**
* @brief Calculate the shape area.
*
* The method returns absolute value and does not reflect polygon
* orientation. The result is cached, subsequent calls will have very little
* cost.
* @return The shape area in floating point double precision.
*/
inline double area() const {
double ret ;
if(area_cache_valid_) ret = area_cache_;
else {
ret = sl::area(offsettedShape());
area_cache_ = ret;
area_cache_valid_ = true;
}
return ret;
}
inline bool isContourConvex() const {
bool ret = false;
switch(convexity_) {
case Convexity::UNCHECKED:
ret = sl::isConvex(sl::contour(transformedShape()));
convexity_ = ret? Convexity::C_TRUE : Convexity::C_FALSE;
break;
case Convexity::C_TRUE: ret = true; break;
case Convexity::C_FALSE:;
}
return ret;
}
inline bool isHoleConvex(unsigned /*holeidx*/) const {
return false;
}
inline bool areHolesConvex() const {
return false;
}
/// The number of the outer ring vertices.
inline size_t vertexCount() const {
return sl::contourVertexCount(sh_);
}
inline size_t holeCount() const {
return sl::holeCount(sh_);
}
/**
* @brief isPointInside
* @param p
* @return
*/
inline bool isInside(const Vertex& p) const
{
return sl::isInside(p, transformedShape());
}
inline bool isInside(const _Item& sh) const
{
return sl::isInside(transformedShape(), sh.transformedShape());
}
inline bool isInside(const RawShape& sh) const
{
return sl::isInside(transformedShape(), sh);
}
inline bool isInside(const _Box<TPoint<RawShape>>& box) const;
inline bool isInside(const _Circle<TPoint<RawShape>>& box) const;
inline void translate(const Vertex& d) BP2D_NOEXCEPT
{
translation(translation() + d);
}
inline void rotate(const Radians& rads) BP2D_NOEXCEPT
{
rotation(rotation() + rads);
}
inline void addOffset(Coord distance) BP2D_NOEXCEPT
{
offset_distance_ = distance;
has_offset_ = true;
invalidateCache();
}
inline void removeOffset() BP2D_NOEXCEPT {
has_offset_ = false;
invalidateCache();
}
inline Radians rotation() const BP2D_NOEXCEPT
{
return rotation_;
}
inline TPoint<RawShape> translation() const BP2D_NOEXCEPT
{
return translation_;
}
inline void rotation(Radians rot) BP2D_NOEXCEPT
{
if(rotation_ != rot) {
rotation_ = rot; has_rotation_ = true; tr_cache_valid_ = false;
rmt_valid_ = false; lmb_valid_ = false;
bb_cache_.valid = false;
}
}
inline void translation(const TPoint<RawShape>& tr) BP2D_NOEXCEPT
{
if(translation_ != tr) {
translation_ = tr; has_translation_ = true; tr_cache_valid_ = false;
//bb_cache_.valid = false;
}
}
inline const RawShape& transformedShape() const
{
if(tr_cache_valid_) return tr_cache_;
RawShape cpy = offsettedShape();
if(has_rotation_) sl::rotate(cpy, rotation_);
if(has_translation_) sl::translate(cpy, translation_);
tr_cache_ = cpy; tr_cache_valid_ = true;
rmt_valid_ = false; lmb_valid_ = false;
return tr_cache_;
}
inline operator RawShape() const
{
return transformedShape();
}
inline const RawShape& rawShape() const BP2D_NOEXCEPT
{
return sh_;
}
inline void resetTransformation() BP2D_NOEXCEPT
{
has_translation_ = false; has_rotation_ = false; has_offset_ = false;
invalidateCache();
}
inline Box boundingBox() const {
if(!bb_cache_.valid) {
if(!has_rotation_)
bb_cache_.bb = sl::boundingBox(offsettedShape());
else {
// TODO make sure this works
auto rotsh = offsettedShape();
sl::rotate(rotsh, rotation_);
bb_cache_.bb = sl::boundingBox(rotsh);
}
bb_cache_.valid = true;
}
auto &bb = bb_cache_.bb; auto &tr = translation_;
return {bb.minCorner() + tr, bb.maxCorner() + tr };
}
inline Vertex referenceVertex() const {
return rightmostTopVertex();
}
inline Vertex rightmostTopVertex() const {
if(!rmt_valid_ || !tr_cache_valid_) { // find max x and max y vertex
auto& tsh = transformedShape();
rmt_ = std::max_element(sl::cbegin(tsh), sl::cend(tsh), vsort);
rmt_valid_ = true;
}
return *rmt_;
}
inline Vertex leftmostBottomVertex() const {
if(!lmb_valid_ || !tr_cache_valid_) { // find min x and min y vertex
auto& tsh = transformedShape();
lmb_ = std::min_element(sl::cbegin(tsh), sl::cend(tsh), vsort);
lmb_valid_ = true;
}
return *lmb_;
}
//Static methods:
inline static bool intersects(const _Item& sh1, const _Item& sh2)
{
return sl::intersects(sh1.transformedShape(),
sh2.transformedShape());
}
inline static bool touches(const _Item& sh1, const _Item& sh2)
{
return sl::touches(sh1.transformedShape(),
sh2.transformedShape());
}
private:
inline const RawShape& offsettedShape() const {
if(has_offset_ ) {
if(offset_cache_valid_) return offset_cache_;
offset_cache_ = sh_;
sl::offset(offset_cache_, offset_distance_);
offset_cache_valid_ = true;
return offset_cache_;
}
return sh_;
}
inline void invalidateCache() const BP2D_NOEXCEPT
{
tr_cache_valid_ = false;
lmb_valid_ = false; rmt_valid_ = false;
area_cache_valid_ = false;
offset_cache_valid_ = false;
bb_cache_.valid = false;
convexity_ = Convexity::UNCHECKED;
}
static inline bool vsort(const Vertex& v1, const Vertex& v2)
{
Coord &&x1 = getX(v1), &&x2 = getX(v2);
Coord &&y1 = getY(v1), &&y2 = getY(v2);
auto diff = y1 - y2;
if(std::abs(diff) <= std::numeric_limits<Coord>::epsilon())
return x1 < x2;
return diff < 0;
}
};
/**
* \brief Subclass of _Item for regular rectangle items.
*/
template<class RawShape>
class _Rectangle: public _Item<RawShape> {
using _Item<RawShape>::vertex;
using TO = Orientation;
public:
using Unit = TCoord<TPoint<RawShape>>;
template<TO o = OrientationType<RawShape>::Value>
inline _Rectangle(Unit width, Unit height,
// disable this ctor if o != CLOCKWISE
enable_if_t< o == TO::CLOCKWISE, int> = 0 ):
_Item<RawShape>( sl::create<RawShape>( {
{0, 0},
{0, height},
{width, height},
{width, 0},
{0, 0}
} ))
{
}
template<TO o = OrientationType<RawShape>::Value>
inline _Rectangle(Unit width, Unit height,
// disable this ctor if o != COUNTER_CLOCKWISE
enable_if_t< o == TO::COUNTER_CLOCKWISE, int> = 0 ):
_Item<RawShape>( sl::create<RawShape>( {
{0, 0},
{width, 0},
{width, height},
{0, height},
{0, 0}
} ))
{
}
inline Unit width() const BP2D_NOEXCEPT {
return getX(vertex(2));
}
inline Unit height() const BP2D_NOEXCEPT {
return getY(vertex(2));
}
};
template<class RawShape>
inline bool _Item<RawShape>::isInside(const _Box<TPoint<RawShape>>& box) const {
return sl::isInside<RawShape>(boundingBox(), box);
}
template<class RawShape> inline bool
_Item<RawShape>::isInside(const _Circle<TPoint<RawShape>>& circ) const {
return sl::isInside<RawShape>(transformedShape(), circ);
}
template<class I> using _ItemRef = std::reference_wrapper<I>;
template<class I> using _ItemGroup = std::vector<_ItemRef<I>>;
template<class Iterator>
struct ConstItemRange {
Iterator from;
Iterator to;
bool valid = false;
ConstItemRange() = default;
ConstItemRange(Iterator f, Iterator t): from(f), to(t), valid(true) {}
};
template<class Container>
inline ConstItemRange<typename Container::const_iterator>
rem(typename Container::const_iterator it, const Container& cont) {
return {std::next(it), cont.end()};
}
/**
* \brief A wrapper interface (trait) class for any placement strategy provider.
*
* If a client wants to use its own placement algorithm, all it has to do is to
* specialize this class template and define all the ten methods it has. It can
* use the strategies::PlacerBoilerplace class for creating a new placement
* strategy where only the constructor and the trypack method has to be provided
* and it will work out of the box.
*/
template<class PlacementStrategy>
class PlacementStrategyLike {
PlacementStrategy impl_;
public:
/// The item type that the placer works with.
using Item = typename PlacementStrategy::Item;
/// The placer's config type. Should be a simple struct but can be anything.
using Config = typename PlacementStrategy::Config;
/**
* \brief The type of the bin that the placer works with.
*
* Can be a box or an arbitrary shape or just a width or height without a
* second dimension if an infinite bin is considered.
*/
using BinType = typename PlacementStrategy::BinType;
/**
* \brief Pack result that can be used to accept or discard it. See trypack
* method.
*/
using PackResult = typename PlacementStrategy::PackResult;
using ItemRef = _ItemRef<Item>;
using ItemGroup = _ItemGroup<Item>;
using DefaultIterator = typename ItemGroup::const_iterator;
/**
* @brief Constructor taking the bin and an optional configuration.
* @param bin The bin object whose type is defined by the placement strategy.
* @param config The configuration for the particular placer.
*/
explicit PlacementStrategyLike(const BinType& bin,
const Config& config = Config()):
impl_(bin)
{
configure(config);
}
/**
* @brief Provide a different configuration for the placer.
*
* Note that it depends on the particular placer implementation how it
* reacts to config changes in the middle of a calculation.
*
* @param config The configuration object defined by the placement strategy.
*/
inline void configure(const Config& config) { impl_.configure(config); }
/**
* Try to pack an item with a result object that contains the packing
* information for later accepting it.
*
* \param item_store A container of items that are intended to be packed
* later. Can be used by the placer to switch tactics. When it's knows that
* many items will come a greedy strategy may not be the best.
* \param from The iterator to the item from which the packing should start,
* including the pointed item
* \param count How many items should be packed. If the value is 1, than
* just the item pointed to by "from" argument should be packed.
*/
template<class Iter = DefaultIterator>
inline PackResult trypack(
Item& item,
const ConstItemRange<Iter>& remaining = ConstItemRange<Iter>())
{
return impl_.trypack(item, remaining);
}
/**
* @brief A method to accept a previously tried item (or items).
*
* If the pack result is a failure the method should ignore it.
* @param r The result of a previous trypack call.
*/
inline void accept(PackResult& r) { impl_.accept(r); }
/**
* @brief pack Try to pack and immediately accept it on success.
*
* A default implementation would be to call
* { auto&& r = trypack(...); accept(r); return r; } but we should let the
* implementor of the placement strategy to harvest any optimizations from
* the absence of an intermediate step. The above version can still be used
* in the implementation.
*
* @param item The item to pack.
* @return Returns true if the item was packed or false if it could not be
* packed.
*/
template<class Range = ConstItemRange<DefaultIterator>>
inline bool pack(
Item& item,
const Range& remaining = Range())
{
return impl_.pack(item, remaining);
}
/// Unpack the last element (remove it from the list of packed items).
inline void unpackLast() { impl_.unpackLast(); }
/// Get the bin object.
inline const BinType& bin() const { return impl_.bin(); }
/// Set a new bin object.
inline void bin(const BinType& bin) { impl_.bin(bin); }
/// Get the packed items.
inline ItemGroup getItems() { return impl_.getItems(); }
/// Clear the packed items so a new session can be started.
inline void clearItems() { impl_.clearItems(); }
inline double filledArea() const { return impl_.filledArea(); }
};
// The progress function will be called with the number of placed items
using ProgressFunction = std::function<void(unsigned)>;
using StopCondition = std::function<bool(void)>;
/**
* A wrapper interface (trait) class for any selections strategy provider.
*/
template<class SelectionStrategy>
class SelectionStrategyLike {
SelectionStrategy impl_;
public:
using Item = typename SelectionStrategy::Item;
using Config = typename SelectionStrategy::Config;
using ItemRef = std::reference_wrapper<Item>;
using ItemGroup = std::vector<ItemRef>;
/**
* @brief Provide a different configuration for the selection strategy.
*
* Note that it depends on the particular placer implementation how it
* reacts to config changes in the middle of a calculation.
*
* @param config The configuration object defined by the selection strategy.
*/
inline void configure(const Config& config) {
impl_.configure(config);
}
/**
* @brief A function callback which should be called whenever an item or
* a group of items where successfully packed.
* @param fn A function callback object taking one unsigned integer as the
* number of the remaining items to pack.
*/
void progressIndicator(ProgressFunction fn) { impl_.progressIndicator(fn); }
void stopCondition(StopCondition cond) { impl_.stopCondition(cond); }
/**
* \brief A method to start the calculation on the input sequence.
*
* \tparam TPlacer The only mandatory template parameter is the type of
* placer compatible with the PlacementStrategyLike interface.
*
* \param first, last The first and last iterator if the input sequence. It
* can be only an iterator of a type convertible to Item.
* \param bin. The shape of the bin. It has to be supported by the placement
* strategy.
* \param An optional config object for the placer.
*/
template<class TPlacer, class TIterator,
class TBin = typename PlacementStrategyLike<TPlacer>::BinType,
class PConfig = typename PlacementStrategyLike<TPlacer>::Config>
inline void packItems(
TIterator first,
TIterator last,
TBin&& bin,
PConfig&& config = PConfig() )
{
impl_.template packItems<TPlacer>(first, last,
std::forward<TBin>(bin),
std::forward<PConfig>(config));
}
/**
* \brief Get the number of bins opened by the selection algorithm.
*
* Initially it is zero and after the call to packItems it will return
* the number of bins opened by the packing procedure.
*
* \return The number of bins opened.
*/
inline size_t binCount() const { return impl_.binCount(); }
/**
* @brief Get the items for a particular bin.
* @param binIndex The index of the requested bin.
* @return Returns a list of all items packed into the requested bin.
*/
inline ItemGroup itemsForBin(size_t binIndex) {
return impl_.itemsForBin(binIndex);
}
/// Same as itemsForBin but for a const context.
inline const ItemGroup itemsForBin(size_t binIndex) const {
return impl_.itemsForBin(binIndex);
}
};
/**
* \brief A list of packed item vectors. Each vector represents a bin.
*/
template<class RawShape>
using _PackGroup = std::vector<
std::vector<
std::reference_wrapper<_Item<RawShape>>
>
>;
/**
* \brief A list of packed (index, item) pair vectors. Each vector represents a
* bin.
*
* The index is points to the position of the item in the original input
* sequence. This way the caller can use the items as a transformation data
* carrier and transform the original objects manually.
*/
template<class RawShape>
using _IndexedPackGroup = std::vector<
std::vector<
std::pair<
unsigned,
std::reference_wrapper<_Item<RawShape>>
>
>
>;
/**
* The Arranger is the front-end class for the libnest2d library. It takes the
* input items and outputs the items with the proper transformations to be
* inside the provided bin.
*/
template<class PlacementStrategy, class SelectionStrategy >
class Nester {
using TSel = SelectionStrategyLike<SelectionStrategy>;
TSel selector_;
public:
using Item = typename PlacementStrategy::Item;
using ItemRef = std::reference_wrapper<Item>;
using TPlacer = PlacementStrategyLike<PlacementStrategy>;
using BinType = typename TPlacer::BinType;
using PlacementConfig = typename TPlacer::Config;
using SelectionConfig = typename TSel::Config;
using Unit = TCoord<TPoint<typename Item::ShapeType>>;
using IndexedPackGroup = _IndexedPackGroup<typename Item::ShapeType>;
using PackGroup = _PackGroup<typename Item::ShapeType>;
using ResultType = PackGroup;
using ResultTypeIndexed = IndexedPackGroup;
private:
BinType bin_;
PlacementConfig pconfig_;
Unit min_obj_distance_;
using SItem = typename SelectionStrategy::Item;
using TPItem = remove_cvref_t<Item>;
using TSItem = remove_cvref_t<SItem>;
std::vector<TPItem> item_cache_;
public:
/**
* \brief Constructor taking the bin as the only mandatory parameter.
*
* \param bin The bin shape that will be used by the placers. The type
* of the bin should be one that is supported by the placer type.
*/
template<class TBinType = BinType,
class PConf = PlacementConfig,
class SConf = SelectionConfig>
Nester( TBinType&& bin,
Unit min_obj_distance = 0,
const PConf& pconfig = PConf(),
const SConf& sconfig = SConf()):
bin_(std::forward<TBinType>(bin)),
pconfig_(pconfig),
min_obj_distance_(min_obj_distance)
{
static_assert( std::is_same<TPItem, TSItem>::value,
"Incompatible placement and selection strategy!");
selector_.configure(sconfig);
}
void configure(const PlacementConfig& pconf) { pconfig_ = pconf; }
void configure(const SelectionConfig& sconf) { selector_.configure(sconf); }
void configure(const PlacementConfig& pconf, const SelectionConfig& sconf) {
pconfig_ = pconf;
selector_.configure(sconf);
}
void configure(const SelectionConfig& sconf, const PlacementConfig& pconf) {
pconfig_ = pconf;
selector_.configure(sconf);
}
/**
* \brief Arrange an input sequence and return a PackGroup object with
* the packed groups corresponding to the bins.
*
* The number of groups in the pack group is the number of bins opened by
* the selection algorithm.
*/
template<class TIterator>
inline PackGroup execute(TIterator from, TIterator to)
{
return _execute(from, to);
}
/**
* A version of the arrange method returning an IndexedPackGroup with
* the item indexes into the original input sequence.
*
* Takes a little longer to collect the indices. Scales linearly with the
* input sequence size.
*/
template<class TIterator>
inline IndexedPackGroup executeIndexed(TIterator from, TIterator to)
{
return _executeIndexed(from, to);
}
/// Shorthand to normal arrange method.
template<class TIterator>
inline PackGroup operator() (TIterator from, TIterator to)
{
return _execute(from, to);
}
/// Set a progress indicator function object for the selector.
inline Nester& progressIndicator(ProgressFunction func)
{
selector_.progressIndicator(func); return *this;
}
/// Set a predicate to tell when to abort nesting.
inline Nester& stopCondition(StopCondition fn) {
selector_.stopCondition(fn); return *this;
}
inline PackGroup lastResult() {
PackGroup ret;
for(size_t i = 0; i < selector_.binCount(); i++) {
auto items = selector_.itemsForBin(i);
ret.push_back(items);
}
return ret;
}
private:
template<class TIterator,
class IT = remove_cvref_t<typename TIterator::value_type>,
// This function will be used only if the iterators are pointing to
// a type compatible with the libnets2d::_Item template.
// This way we can use references to input elements as they will
// have to exist for the lifetime of this call.
class T = enable_if_t< std::is_convertible<IT, TPItem>::value, IT>
>
inline PackGroup _execute(TIterator from, TIterator to, bool = false)
{
__execute(from, to);
return lastResult();
}
template<class TIterator,
class IT = remove_cvref_t<typename TIterator::value_type>,
class T = enable_if_t<!std::is_convertible<IT, TPItem>::value, IT>
>
inline PackGroup _execute(TIterator from, TIterator to, int = false)
{
item_cache_ = {from, to};
__execute(item_cache_.begin(), item_cache_.end());
return lastResult();
}
template<class TIterator,
class IT = remove_cvref_t<typename TIterator::value_type>,
// This function will be used only if the iterators are pointing to
// a type compatible with the libnest2d::_Item template.
// This way we can use references to input elements as they will
// have to exist for the lifetime of this call.
class T = enable_if_t< std::is_convertible<IT, TPItem>::value, IT>
>
inline IndexedPackGroup _executeIndexed(TIterator from,
TIterator to,
bool = false)
{
__execute(from, to);
return createIndexedPackGroup(from, to, selector_);
}
template<class TIterator,
class IT = remove_cvref_t<typename TIterator::value_type>,
class T = enable_if_t<!std::is_convertible<IT, TPItem>::value, IT>
>
inline IndexedPackGroup _executeIndexed(TIterator from,
TIterator to,
int = false)
{
item_cache_ = {from, to};
__execute(item_cache_.begin(), item_cache_.end());
return createIndexedPackGroup(from, to, selector_);
}
template<class TIterator>
static IndexedPackGroup createIndexedPackGroup(TIterator from,
TIterator to,
TSel& selector)
{
IndexedPackGroup pg;
pg.reserve(selector.binCount());
for(size_t i = 0; i < selector.binCount(); i++) {
auto items = selector.itemsForBin(i);
pg.push_back({});
pg[i].reserve(items.size());
for(Item& itemA : items) {
auto it = from;
unsigned idx = 0;
while(it != to) {
Item& itemB = *it;
if(&itemB == &itemA) break;
it++; idx++;
}
pg[i].emplace_back(idx, itemA);
}
}
return pg;
}
template<class TIter> inline void __execute(TIter from, TIter to)
{
if(min_obj_distance_ > 0) std::for_each(from, to, [this](Item& item) {
item.addOffset(static_cast<Unit>(std::ceil(min_obj_distance_/2.0)));
});
selector_.template packItems<PlacementStrategy>(
from, to, bin_, pconfig_);
if(min_obj_distance_ > 0) std::for_each(from, to, [](Item& item) {
item.removeOffset();
});
}
};
}
#endif // LIBNEST2D_HPP

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#ifndef OPTIMIZER_HPP
#define OPTIMIZER_HPP
#include <tuple>
#include <functional>
#include <limits>
#include "common.hpp"
namespace libnest2d { namespace opt {
using std::forward;
using std::tuple;
using std::make_tuple;
/// A Type trait for upper and lower limit of a numeric type.
template<class T, class B = void >
struct limits {
inline static T min() { return std::numeric_limits<T>::min(); }
inline static T max() { return std::numeric_limits<T>::max(); }
};
template<class T>
struct limits<T, enable_if_t<std::numeric_limits<T>::has_infinity, void>> {
inline static T min() { return -std::numeric_limits<T>::infinity(); }
inline static T max() { return std::numeric_limits<T>::infinity(); }
};
/// An interval of possible input values for optimization
template<class T>
class Bound {
T min_;
T max_;
public:
Bound(const T& min = limits<T>::min(),
const T& max = limits<T>::max()): min_(min), max_(max) {}
inline const T min() const BP2D_NOEXCEPT { return min_; }
inline const T max() const BP2D_NOEXCEPT { return max_; }
};
/**
* Helper function to make a Bound object with its type deduced automatically.
*/
template<class T>
inline Bound<T> bound(const T& min, const T& max) { return Bound<T>(min, max); }
/**
* This is the type of an input tuple for the object function. It holds the
* values and their type in each dimension.
*/
template<class...Args> using Input = tuple<Args...>;
template<class...Args>
inline tuple<Args...> initvals(Args...args) { return make_tuple(args...); }
/**
* @brief Specific optimization methods for which a default optimizer
* implementation can be instantiated.
*/
enum class Method {
L_SIMPLEX,
L_SUBPLEX,
G_GENETIC,
//...
};
/**
* @brief Info about result of an optimization. These codes are exactly the same
* as the nlopt codes for convinience.
*/
enum ResultCodes {
FAILURE = -1, /* generic failure code */
INVALID_ARGS = -2,
OUT_OF_MEMORY = -3,
ROUNDOFF_LIMITED = -4,
FORCED_STOP = -5,
SUCCESS = 1, /* generic success code */
STOPVAL_REACHED = 2,
FTOL_REACHED = 3,
XTOL_REACHED = 4,
MAXEVAL_REACHED = 5,
MAXTIME_REACHED = 6
};
/**
* \brief A type to hold the complete result of the optimization.
*/
template<class...Args>
struct Result {
ResultCodes resultcode;
tuple<Args...> optimum;
double score;
};
/**
* @brief A type for specifying the stop criteria.
*/
struct StopCriteria {
/// If the absolute value difference between two scores.
double absolute_score_difference = std::nan("");
/// If the relative value difference between two scores.
double relative_score_difference = std::nan("");
/// Stop if this value or better is found.
double stop_score = std::nan("");
/// A predicate that if evaluates to true, the optimization should terminate
/// and the best result found prior to termination should be returned.
std::function<bool()> stop_condition = [] { return false; };
/// The max allowed number of iterations.
unsigned max_iterations = 0;
};
/**
* \brief The Optimizer base class with CRTP pattern.
*/
template<class Subclass>
class Optimizer {
protected:
enum class OptDir{
MIN,
MAX
} dir_;
StopCriteria stopcr_;
public:
inline explicit Optimizer(const StopCriteria& scr = {}): stopcr_(scr) {}
/**
* \brief Optimize for minimum value of the provided objectfunction.
* \param objectfunction The function that will be searched for the minimum
* return value.
* \param initvals A tuple with the initial values for the search
* \param bounds A parameter pack with the bounds for each dimension.
* \return Returns a Result<Args...> structure.
* An example call would be:
* auto result = opt.optimize_min(
* [](tuple<double> x) // object function
* {
* return std::pow(std::get<0>(x), 2);
* },
* make_tuple(-0.5), // initial value
* {-1.0, 1.0} // search space bounds
* );
*/
template<class Func, class...Args>
inline Result<Args...> optimize_min(Func&& objectfunction,
Input<Args...> initvals,
Bound<Args>... bounds)
{
dir_ = OptDir::MIN;
return static_cast<Subclass*>(this)->template optimize<Func, Args...>(
forward<Func>(objectfunction), initvals, bounds... );
}
template<class Func, class...Args>
inline Result<Args...> optimize_min(Func&& objectfunction,
Input<Args...> initvals)
{
dir_ = OptDir::MIN;
return static_cast<Subclass*>(this)->template optimize<Func, Args...>(
objectfunction, initvals, Bound<Args>()... );
}
template<class...Args, class Func>
inline Result<Args...> optimize_min(Func&& objectfunction)
{
dir_ = OptDir::MIN;
return static_cast<Subclass*>(this)->template optimize<Func, Args...>(
objectfunction,
Input<Args...>(),
Bound<Args>()... );
}
/// Same as optimize_min but optimizes for maximum function value.
template<class Func, class...Args>
inline Result<Args...> optimize_max(Func&& objectfunction,
Input<Args...> initvals,
Bound<Args>... bounds)
{
dir_ = OptDir::MAX;
return static_cast<Subclass*>(this)->template optimize<Func, Args...>(
objectfunction, initvals, bounds... );
}
template<class Func, class...Args>
inline Result<Args...> optimize_max(Func&& objectfunction,
Input<Args...> initvals)
{
dir_ = OptDir::MAX;
return static_cast<Subclass*>(this)->template optimize<Func, Args...>(
objectfunction, initvals, Bound<Args>()... );
}
template<class...Args, class Func>
inline Result<Args...> optimize_max(Func&& objectfunction)
{
dir_ = OptDir::MAX;
return static_cast<Subclass*>(this)->template optimize<Func, Args...>(
objectfunction,
Input<Args...>(),
Bound<Args>()... );
}
};
// Just to be able to instantiate an unimplemented method and generate compile
// error.
template<class T = void>
class DummyOptimizer : public Optimizer<DummyOptimizer<T>> {
friend class Optimizer<DummyOptimizer<T>>;
public:
DummyOptimizer() {
static_assert(always_false<T>::value, "Optimizer unimplemented!");
}
DummyOptimizer(const StopCriteria&) {
static_assert(always_false<T>::value, "Optimizer unimplemented!");
}
template<class Func, class...Args>
Result<Args...> optimize(Func&& /*func*/,
tuple<Args...> /*initvals*/,
Bound<Args>... /*args*/)
{
return Result<Args...>();
}
};
// Specializing this struct will tell what kind of optimizer to generate for
// a given method
template<Method m> struct OptimizerSubclass { using Type = DummyOptimizer<>; };
/// Optimizer type based on the method provided in parameter m.
template<Method m> using TOptimizer = typename OptimizerSubclass<m>::Type;
/// Global optimizer with an explicitly specified local method.
template<Method m>
inline TOptimizer<m> GlobalOptimizer(Method, const StopCriteria& scr = {})
{ // Need to be specialized in order to do anything useful.
return TOptimizer<m>(scr);
}
}
}
#endif // OPTIMIZER_HPP

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find_package(NLopt 1.4)
if(NOT NLopt_FOUND)
message(STATUS "NLopt not found so downloading "
"and automatic build is performed...")
include(DownloadProject)
if (CMAKE_VERSION VERSION_LESS 3.2)
set(UPDATE_DISCONNECTED_IF_AVAILABLE "")
else()
set(UPDATE_DISCONNECTED_IF_AVAILABLE "UPDATE_DISCONNECTED 1")
endif()
set(URL_NLOPT "https://github.com/stevengj/nlopt.git"
CACHE STRING "Location of the nlopt git repository")
# set(NLopt_DIR ${CMAKE_BINARY_DIR}/nlopt)
include(DownloadProject)
download_project( PROJ nlopt
GIT_REPOSITORY ${URL_NLOPT}
GIT_TAG v2.5.0
# CMAKE_CACHE_ARGS -DBUILD_SHARED_LIBS:BOOL=OFF -DCMAKE_BUILD_TYPE:STRING=${CMAKE_BUILD_TYPE} -DCMAKE_INSTALL_PREFIX=${NLopt_DIR}
${UPDATE_DISCONNECTED_IF_AVAILABLE}
)
set(SHARED_LIBS_STATE BUILD_SHARED_LIBS)
set(BUILD_SHARED_LIBS OFF CACHE BOOL "" FORCE)
set(NLOPT_PYTHON OFF CACHE BOOL "" FORCE)
set(NLOPT_OCTAVE OFF CACHE BOOL "" FORCE)
set(NLOPT_MATLAB OFF CACHE BOOL "" FORCE)
set(NLOPT_GUILE OFF CACHE BOOL "" FORCE)
set(NLOPT_SWIG OFF CACHE BOOL "" FORCE)
set(NLOPT_LINK_PYTHON OFF CACHE BOOL "" FORCE)
add_subdirectory(${nlopt_SOURCE_DIR} ${nlopt_BINARY_DIR})
set(NLopt_LIBS nlopt)
set(NLopt_INCLUDE_DIR ${nlopt_BINARY_DIR} ${nlopt_BINARY_DIR}/src/api)
set(SHARED_LIBS_STATE ${SHARED_STATE})
add_library(NloptOptimizer INTERFACE)
target_link_libraries(NloptOptimizer INTERFACE nlopt)
target_include_directories(NloptOptimizer INTERFACE ${NLopt_INCLUDE_DIR})
else()
add_library(NloptOptimizer INTERFACE)
target_link_libraries(NloptOptimizer INTERFACE Nlopt::Nlopt)
endif()
target_sources( NloptOptimizer INTERFACE
${CMAKE_CURRENT_SOURCE_DIR}/simplex.hpp
${CMAKE_CURRENT_SOURCE_DIR}/subplex.hpp
${CMAKE_CURRENT_SOURCE_DIR}/genetic.hpp
${CMAKE_CURRENT_SOURCE_DIR}/nlopt_boilerplate.hpp
)
target_compile_definitions(NloptOptimizer INTERFACE LIBNEST2D_OPTIMIZER_NLOPT)
# And finally plug the NloptOptimizer into libnest2d
target_link_libraries(libnest2d INTERFACE NloptOptimizer)

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#ifndef GENETIC_HPP
#define GENETIC_HPP
#include "nlopt_boilerplate.hpp"
namespace libnest2d { namespace opt {
class GeneticOptimizer: public NloptOptimizer {
public:
inline explicit GeneticOptimizer(const StopCriteria& scr = {}):
NloptOptimizer(method2nloptAlg(Method::G_GENETIC), scr) {}
inline GeneticOptimizer& localMethod(Method m) {
localmethod_ = m;
return *this;
}
};
template<>
struct OptimizerSubclass<Method::G_GENETIC> { using Type = GeneticOptimizer; };
template<>
inline TOptimizer<Method::G_GENETIC> GlobalOptimizer<Method::G_GENETIC>(
Method localm, const StopCriteria& scr )
{
return GeneticOptimizer (scr).localMethod(localm);
}
}
}
#endif // GENETIC_HPP

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#ifndef NLOPT_BOILERPLATE_HPP
#define NLOPT_BOILERPLATE_HPP
#ifdef _MSC_VER
#pragma warning(push)
#pragma warning(disable: 4244)
#pragma warning(disable: 4267)
#endif
#include <nlopt.hpp>
#ifdef _MSC_VER
#pragma warning(pop)
#endif
#include <libnest2d/optimizer.hpp>
#include <cassert>
#include <libnest2d/utils/metaloop.hpp>
#include <utility>
namespace libnest2d { namespace opt {
inline nlopt::algorithm method2nloptAlg(Method m) {
switch(m) {
case Method::L_SIMPLEX: return nlopt::LN_NELDERMEAD;
case Method::L_SUBPLEX: return nlopt::LN_SBPLX;
case Method::G_GENETIC: return nlopt::GN_ESCH;
default: assert(false); throw(m);
}
}
/**
* Optimizer based on NLopt.
*
* All the optimized types have to be convertible to double.
*/
class NloptOptimizer: public Optimizer<NloptOptimizer> {
protected:
nlopt::opt opt_;
std::vector<double> lower_bounds_;
std::vector<double> upper_bounds_;
std::vector<double> initvals_;
nlopt::algorithm alg_;
Method localmethod_;
using Base = Optimizer<NloptOptimizer>;
friend Base;
// ********************************************************************** */
// TODO: CHANGE FOR LAMBDAS WHEN WE WILL MOVE TO C++14
struct BoundsFunc {
NloptOptimizer& self;
inline explicit BoundsFunc(NloptOptimizer& o): self(o) {}
template<class T> void operator()(int N, T& bounds)
{
self.lower_bounds_[N] = bounds.min();
self.upper_bounds_[N] = bounds.max();
}
};
struct InitValFunc {
NloptOptimizer& self;
inline explicit InitValFunc(NloptOptimizer& o): self(o) {}
template<class T> void operator()(int N, T& initval)
{
self.initvals_[N] = initval;
}
};
struct ResultCopyFunc {
NloptOptimizer& self;
inline explicit ResultCopyFunc(NloptOptimizer& o): self(o) {}
template<class T> void operator()(int N, T& resultval)
{
resultval = self.initvals_[N];
}
};
struct FunvalCopyFunc {
using D = const std::vector<double>;
D& params;
inline explicit FunvalCopyFunc(D& p): params(p) {}
template<class T> void operator()(int N, T& resultval)
{
resultval = params[N];
}
};
/* ********************************************************************** */
template<class Fn, class...Args>
static double optfunc(const std::vector<double>& params,
std::vector<double>& /*grad*/,
void *data)
{
using TData = std::pair<remove_ref_t<Fn>*, NloptOptimizer*>;
auto typeddata = static_cast<TData*>(data);
if(typeddata->second->stopcr_.stop_condition())
typeddata->second->opt_.force_stop();
auto fnptr = typeddata->first;
auto funval = std::tuple<Args...>();
// copy the obtained objectfunction arguments to the funval tuple.
metaloop::apply(FunvalCopyFunc(params), funval);
auto ret = metaloop::callFunWithTuple(*fnptr, funval,
index_sequence_for<Args...>());
return ret;
}
template<class Func, class...Args>
Result<Args...> optimize(Func&& func,
std::tuple<Args...> initvals,
Bound<Args>... args)
{
lower_bounds_.resize(sizeof...(Args));
upper_bounds_.resize(sizeof...(Args));
initvals_.resize(sizeof...(Args));
opt_ = nlopt::opt(alg_, sizeof...(Args) );
// Copy the bounds which is obtained as a parameter pack in args into
// lower_bounds_ and upper_bounds_
metaloop::apply(BoundsFunc(*this), args...);
opt_.set_lower_bounds(lower_bounds_);
opt_.set_upper_bounds(upper_bounds_);
nlopt::opt localopt;
switch(opt_.get_algorithm()) {
case nlopt::GN_MLSL:
case nlopt::GN_MLSL_LDS:
localopt = nlopt::opt(method2nloptAlg(localmethod_),
sizeof...(Args));
localopt.set_lower_bounds(lower_bounds_);
localopt.set_upper_bounds(upper_bounds_);
opt_.set_local_optimizer(localopt);
default: ;
}
double abs_diff = stopcr_.absolute_score_difference;
double rel_diff = stopcr_.relative_score_difference;
double stopval = stopcr_.stop_score;
if(!std::isnan(abs_diff)) opt_.set_ftol_abs(abs_diff);
if(!std::isnan(rel_diff)) opt_.set_ftol_rel(rel_diff);
if(!std::isnan(stopval)) opt_.set_stopval(stopval);
if(this->stopcr_.max_iterations > 0)
opt_.set_maxeval(this->stopcr_.max_iterations );
// Take care of the initial values, copy them to initvals_
metaloop::apply(InitValFunc(*this), initvals);
std::pair<remove_ref_t<Func>*, NloptOptimizer*> data =
std::make_pair(&func, this);
switch(dir_) {
case OptDir::MIN:
opt_.set_min_objective(optfunc<Func, Args...>, &data); break;
case OptDir::MAX:
opt_.set_max_objective(optfunc<Func, Args...>, &data); break;
}
Result<Args...> result;
nlopt::result rescode;
try {
rescode = opt_.optimize(initvals_, result.score);
result.resultcode = static_cast<ResultCodes>(rescode);
} catch( nlopt::forced_stop& ) {
result.resultcode = ResultCodes::FORCED_STOP;
}
metaloop::apply(ResultCopyFunc(*this), result.optimum);
return result;
}
public:
inline explicit NloptOptimizer(nlopt::algorithm alg,
StopCriteria stopcr = {}):
Base(stopcr), alg_(alg), localmethod_(Method::L_SIMPLEX) {}
};
}
}
#endif // NLOPT_BOILERPLATE_HPP

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#ifndef SIMPLEX_HPP
#define SIMPLEX_HPP
#include "nlopt_boilerplate.hpp"
namespace libnest2d { namespace opt {
class SimplexOptimizer: public NloptOptimizer {
public:
inline explicit SimplexOptimizer(const StopCriteria& scr = {}):
NloptOptimizer(method2nloptAlg(Method::L_SIMPLEX), scr) {}
};
template<>
struct OptimizerSubclass<Method::L_SIMPLEX> { using Type = SimplexOptimizer; };
}
}
#endif // SIMPLEX_HPP

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#ifndef SUBPLEX_HPP
#define SUBPLEX_HPP
#include "nlopt_boilerplate.hpp"
namespace libnest2d { namespace opt {
class SubplexOptimizer: public NloptOptimizer {
public:
inline explicit SubplexOptimizer(const StopCriteria& scr = {}):
NloptOptimizer(method2nloptAlg(Method::L_SUBPLEX), scr) {}
};
template<>
struct OptimizerSubclass<Method::L_SUBPLEX> { using Type = SubplexOptimizer; };
}
}
#endif // SUBPLEX_HPP

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find_package(Armadillo REQUIRED)
add_library(OptimlibOptimizer INTERFACE)
target_include_directories(OptimlibOptimizer INTERFACE ${ARMADILLO_INCLUDE_DIRS})
target_link_libraries(OptimlibOptimizer INTERFACE ${ARMADILLO_LIBRARIES})

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#ifndef BOTTOMLEFT_HPP
#define BOTTOMLEFT_HPP
#include <limits>
#include "placer_boilerplate.hpp"
namespace libnest2d { namespace placers {
template<class T, class = T> struct Epsilon {};
template<class T>
struct Epsilon<T, enable_if_t<std::is_integral<T>::value, T> > {
static const T Value = 1;
};
template<class T>
struct Epsilon<T, enable_if_t<std::is_floating_point<T>::value, T> > {
static const T Value = 1e-3;
};
template<class RawShape>
struct BLConfig {
DECLARE_MAIN_TYPES(RawShape);
Coord min_obj_distance = 0;
Coord epsilon = Epsilon<Coord>::Value;
bool allow_rotations = false;
};
template<class RawShape>
class _BottomLeftPlacer: public PlacerBoilerplate<
_BottomLeftPlacer<RawShape>,
RawShape, _Box<TPoint<RawShape>>,
BLConfig<RawShape> >
{
using Base = PlacerBoilerplate<_BottomLeftPlacer<RawShape>, RawShape,
_Box<TPoint<RawShape>>, BLConfig<RawShape>>;
DECLARE_PLACER(Base)
public:
explicit _BottomLeftPlacer(const BinType& bin): Base(bin) {}
template<class Range = ConstItemRange<typename Base::DefaultIter>>
PackResult trypack(Item& item,
const Range& = Range())
{
auto r = _trypack(item);
if(!r && Base::config_.allow_rotations) {
item.rotate(Degrees(90));
r =_trypack(item);
}
return r;
}
enum class Dir {
LEFT,
DOWN
};
inline RawShape leftPoly(const Item& item) const {
return toWallPoly(item, Dir::LEFT);
}
inline RawShape downPoly(const Item& item) const {
return toWallPoly(item, Dir::DOWN);
}
inline Unit availableSpaceLeft(const Item& item) {
return availableSpace(item, Dir::LEFT);
}
inline Unit availableSpaceDown(const Item& item) {
return availableSpace(item, Dir::DOWN);
}
protected:
PackResult _trypack(Item& item) {
// Get initial position for item in the top right corner
setInitialPosition(item);
Unit d = availableSpaceDown(item);
auto eps = config_.epsilon;
bool can_move = d > eps;
bool can_be_packed = can_move;
bool left = true;
while(can_move) {
if(left) { // write previous down move and go down
item.translate({0, -d+eps});
d = availableSpaceLeft(item);
can_move = d > eps;
left = false;
} else { // write previous left move and go down
item.translate({-d+eps, 0});
d = availableSpaceDown(item);
can_move = d > eps;
left = true;
}
}
if(can_be_packed) {
Item trsh(item.transformedShape());
for(auto& v : trsh) can_be_packed = can_be_packed &&
getX(v) < bin_.width() &&
getY(v) < bin_.height();
}
return can_be_packed? PackResult(item) : PackResult();
}
void setInitialPosition(Item& item) {
auto bb = item.boundingBox();
Vertex v = { getX(bb.maxCorner()), getY(bb.minCorner()) };
Coord dx = getX(bin_.maxCorner()) - getX(v);
Coord dy = getY(bin_.maxCorner()) - getY(v);
item.translate({dx, dy});
}
template<class C = Coord>
static enable_if_t<std::is_floating_point<C>::value, bool>
isInTheWayOf( const Item& item,
const Item& other,
const RawShape& scanpoly)
{
auto tsh = other.transformedShape();
return ( sl::intersects(tsh, scanpoly) ||
sl::isInside(tsh, scanpoly) ) &&
( !sl::intersects(tsh, item.rawShape()) &&
!sl::isInside(tsh, item.rawShape()) );
}
template<class C = Coord>
static enable_if_t<std::is_integral<C>::value, bool>
isInTheWayOf( const Item& item,
const Item& other,
const RawShape& scanpoly)
{
auto tsh = other.transformedShape();
bool inters_scanpoly = sl::intersects(tsh, scanpoly) &&
!sl::touches(tsh, scanpoly);
bool inters_item = sl::intersects(tsh, item.rawShape()) &&
!sl::touches(tsh, item.rawShape());
return ( inters_scanpoly ||
sl::isInside(tsh, scanpoly)) &&
( !inters_item &&
!sl::isInside(tsh, item.rawShape())
);
}
ItemGroup itemsInTheWayOf(const Item& item, const Dir dir) {
// Get the left or down polygon, that has the same area as the shadow
// of input item reflected to the left or downwards
auto&& scanpoly = dir == Dir::LEFT? leftPoly(item) :
downPoly(item);
ItemGroup ret; // packed items 'in the way' of item
ret.reserve(items_.size());
// Predicate to find items that are 'in the way' for left (down) move
auto predicate = [&scanpoly, &item](const Item& it) {
return isInTheWayOf(item, it, scanpoly);
};
// Get the items that are in the way for the left (or down) movement
std::copy_if(items_.begin(), items_.end(),
std::back_inserter(ret), predicate);
return ret;
}
Unit availableSpace(const Item& _item, const Dir dir) {
Item item (_item.transformedShape());
std::function<Coord(const Vertex&)> getCoord;
std::function< std::pair<Coord, bool>(const Segment&, const Vertex&) >
availableDistanceSV;
std::function< std::pair<Coord, bool>(const Vertex&, const Segment&) >
availableDistance;
if(dir == Dir::LEFT) {
getCoord = [](const Vertex& v) { return getX(v); };
availableDistance = pointlike::horizontalDistance<Vertex>;
availableDistanceSV = [](const Segment& s, const Vertex& v) {
auto ret = pointlike::horizontalDistance<Vertex>(v, s);
if(ret.second) ret.first = -ret.first;
return ret;
};
}
else {
getCoord = [](const Vertex& v) { return getY(v); };
availableDistance = pointlike::verticalDistance<Vertex>;
availableDistanceSV = [](const Segment& s, const Vertex& v) {
auto ret = pointlike::verticalDistance<Vertex>(v, s);
if(ret.second) ret.first = -ret.first;
return ret;
};
}
auto&& items_in_the_way = itemsInTheWayOf(item, dir);
// Comparison function for finding min vertex
auto cmp = [&getCoord](const Vertex& v1, const Vertex& v2) {
return getCoord(v1) < getCoord(v2);
};
// find minimum left or down coordinate of item
auto minvertex_it = std::min_element(item.begin(),
item.end(),
cmp);
// Get the initial distance in floating point
Unit m = getCoord(*minvertex_it);
// Check available distance for every vertex of item to the objects
// in the way for the nearest intersection
if(!items_in_the_way.empty()) { // This is crazy, should be optimized...
for(Item& pleft : items_in_the_way) {
// For all segments in items_to_left
assert(pleft.vertexCount() > 0);
auto trpleft_poly = pleft.transformedShape();
auto& trpleft = sl::contour(trpleft_poly);
auto first = sl::begin(trpleft);
auto next = first + 1;
auto endit = sl::end(trpleft);
while(next != endit) {
Segment seg(*(first++), *(next++));
for(auto& v : item) { // For all vertices in item
auto d = availableDistance(v, seg);
if(d.second && d.first < m) m = d.first;
}
}
}
auto first = item.begin();
auto next = first + 1;
auto endit = item.end();
// For all edges in item:
while(next != endit) {
Segment seg(*(first++), *(next++));
// for all shapes in items_to_left
for(Item& sh : items_in_the_way) {
assert(sh.vertexCount() > 0);
Item tsh(sh.transformedShape());
for(auto& v : tsh) { // For all vertices in item
auto d = availableDistanceSV(seg, v);
if(d.second && d.first < m) m = d.first;
}
}
}
}
return m;
}
/**
* Implementation of the left (and down) polygon as described by
* [López-Camacho et al. 2013]\
* (http://www.cs.stir.ac.uk/~goc/papers/EffectiveHueristic2DAOR2013.pdf)
* see algorithm 8 for details...
*/
RawShape toWallPoly(const Item& _item, const Dir dir) const {
// The variable names reflect the case of left polygon calculation.
//
// We will iterate through the item's vertices and search for the top
// and bottom vertices (or right and left if dir==Dir::DOWN).
// Save the relevant vertices and their indices into `bottom` and
// `top` vectors. In case of left polygon construction these will
// contain the top and bottom polygons which have the same vertical
// coordinates (in case there is more of them).
//
// We get the leftmost (or downmost) vertex from the `bottom` and `top`
// vectors and construct the final polygon.
Item item (_item.transformedShape());
auto getCoord = [dir](const Vertex& v) {
return dir == Dir::LEFT? getY(v) : getX(v);
};
Coord max_y = std::numeric_limits<Coord>::min();
Coord min_y = std::numeric_limits<Coord>::max();
using El = std::pair<size_t, std::reference_wrapper<const Vertex>>;
std::function<bool(const El&, const El&)> cmp;
if(dir == Dir::LEFT)
cmp = [](const El& e1, const El& e2) {
return getX(e1.second.get()) < getX(e2.second.get());
};
else
cmp = [](const El& e1, const El& e2) {
return getY(e1.second.get()) < getY(e2.second.get());
};
std::vector< El > top;
std::vector< El > bottom;
size_t idx = 0;
for(auto& v : item) { // Find the bottom and top vertices and save them
auto vref = std::cref(v);
auto vy = getCoord(v);
if( vy > max_y ) {
max_y = vy;
top.clear();
top.emplace_back(idx, vref);
}
else if(vy == max_y) { top.emplace_back(idx, vref); }
if(vy < min_y) {
min_y = vy;
bottom.clear();
bottom.emplace_back(idx, vref);
}
else if(vy == min_y) { bottom.emplace_back(idx, vref); }
idx++;
}
// Get the top and bottom leftmost vertices, or the right and left
// downmost vertices (if dir == Dir::DOWN)
auto topleft_it = std::min_element(top.begin(), top.end(), cmp);
auto bottomleft_it =
std::min_element(bottom.begin(), bottom.end(), cmp);
auto& topleft_vertex = topleft_it->second.get();
auto& bottomleft_vertex = bottomleft_it->second.get();
// Start and finish positions for the vertices that will be part of the
// new polygon
auto start = std::min(topleft_it->first, bottomleft_it->first);
auto finish = std::max(topleft_it->first, bottomleft_it->first);
RawShape ret;
// the return shape
auto& rsh = sl::contour(ret);
// reserve for all vertices plus 2 for the left horizontal wall, 2 for
// the additional vertices for maintaning min object distance
sl::reserve(rsh, finish-start+4);
/*auto addOthers = [&rsh, finish, start, &item](){
for(size_t i = start+1; i < finish; i++)
sl::addVertex(rsh, item.vertex(i));
};*/
auto reverseAddOthers = [&rsh, finish, start, &item](){
for(auto i = finish-1; i > start; i--)
sl::addVertex(rsh, item.vertex(
static_cast<unsigned long>(i)));
};
// Final polygon construction...
static_assert(OrientationType<RawShape>::Value ==
Orientation::CLOCKWISE,
"Counter clockwise toWallPoly() Unimplemented!");
// Clockwise polygon construction
sl::addVertex(rsh, topleft_vertex);
if(dir == Dir::LEFT) reverseAddOthers();
else {
sl::addVertex(rsh, getX(topleft_vertex), 0);
sl::addVertex(rsh, getX(bottomleft_vertex), 0);
}
sl::addVertex(rsh, bottomleft_vertex);
if(dir == Dir::LEFT) {
sl::addVertex(rsh, 0, getY(bottomleft_vertex));
sl::addVertex(rsh, 0, getY(topleft_vertex));
}
else reverseAddOthers();
// Close the polygon
sl::addVertex(rsh, topleft_vertex);
return ret;
}
};
}
}
#endif //BOTTOMLEFT_HPP

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#ifndef PLACER_BOILERPLATE_HPP
#define PLACER_BOILERPLATE_HPP
#include <libnest2d/libnest2d.hpp>
namespace libnest2d { namespace placers {
struct EmptyConfig {};
template<class Subclass, class RawShape, class TBin, class Cfg = EmptyConfig>
class PlacerBoilerplate {
mutable bool farea_valid_ = false;
mutable double farea_ = 0.0;
public:
using Item = _Item<RawShape>;
using Vertex = TPoint<RawShape>;
using Segment = _Segment<Vertex>;
using BinType = TBin;
using Coord = TCoord<Vertex>;
using Unit = Coord;
using Config = Cfg;
using ItemGroup = _ItemGroup<Item>;
using DefaultIter = typename ItemGroup::const_iterator;
class PackResult {
Item *item_ptr_;
Vertex move_;
Radians rot_;
double overfit_;
friend class PlacerBoilerplate;
friend Subclass;
PackResult(Item& item):
item_ptr_(&item),
move_(item.translation()),
rot_(item.rotation()) {}
PackResult(double overfit = 1.0):
item_ptr_(nullptr), overfit_(overfit) {}
public:
operator bool() { return item_ptr_ != nullptr; }
double overfit() const { return overfit_; }
};
inline PlacerBoilerplate(const BinType& bin, unsigned cap = 50): bin_(bin)
{
items_.reserve(cap);
}
inline const BinType& bin() const BP2D_NOEXCEPT { return bin_; }
template<class TB> inline void bin(TB&& b) {
bin_ = std::forward<BinType>(b);
}
inline void configure(const Config& config) BP2D_NOEXCEPT {
config_ = config;
}
template<class Range = ConstItemRange<DefaultIter>>
bool pack(Item& item,
const Range& rem = Range()) {
auto&& r = static_cast<Subclass*>(this)->trypack(item, rem);
if(r) {
items_.push_back(*(r.item_ptr_));
farea_valid_ = false;
}
return r;
}
void accept(PackResult& r) {
if(r) {
r.item_ptr_->translation(r.move_);
r.item_ptr_->rotation(r.rot_);
items_.push_back(*(r.item_ptr_));
farea_valid_ = false;
}
}
void unpackLast() {
items_.pop_back();
farea_valid_ = false;
}
inline const ItemGroup& getItems() const { return items_; }
inline void clearItems() {
items_.clear();
farea_valid_ = false;
}
inline double filledArea() const {
if(farea_valid_) return farea_;
else {
farea_ = .0;
std::for_each(items_.begin(), items_.end(),
[this] (Item& item) {
farea_ += item.area();
});
farea_valid_ = true;
}
return farea_;
}
protected:
BinType bin_;
ItemGroup items_;
Cfg config_;
};
#define DECLARE_PLACER(Base) \
using Base::bin_; \
using Base::items_; \
using Base::config_; \
public: \
using typename Base::Item; \
using typename Base::ItemGroup; \
using typename Base::BinType; \
using typename Base::Config; \
using typename Base::Vertex; \
using typename Base::Segment; \
using typename Base::PackResult; \
using typename Base::Coord; \
using typename Base::Unit; \
private:
}
}
#endif // PLACER_BOILERPLATE_HPP

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#ifndef DJD_HEURISTIC_HPP
#define DJD_HEURISTIC_HPP
#include <list>
#include <future>
#include <atomic>
#include <functional>
#include "selection_boilerplate.hpp"
namespace libnest2d { namespace selections {
/**
* Selection heuristic based on [López-Camacho]\
* (http://www.cs.stir.ac.uk/~goc/papers/EffectiveHueristic2DAOR2013.pdf)
*/
template<class RawShape>
class _DJDHeuristic: public SelectionBoilerplate<RawShape> {
using Base = SelectionBoilerplate<RawShape>;
class SpinLock {
std::atomic_flag& lck_;
public:
inline SpinLock(std::atomic_flag& flg): lck_(flg) {}
inline void lock() {
while(lck_.test_and_set(std::memory_order_acquire)) {}
}
inline void unlock() { lck_.clear(std::memory_order_release); }
};
public:
using typename Base::Item;
using typename Base::ItemRef;
/**
* @brief The Config for DJD heuristic.
*/
struct Config {
/**
* If true, the algorithm will try to place pair and triplets in all
* possible order. It will have a hugely negative impact on performance.
*/
bool try_reverse_order = true;
/**
* @brief try_pairs Whether to try pairs of items to pack. It will add
* a quadratic component to the complexity.
*/
bool try_pairs = true;
/**
* @brief Whether to try groups of 3 items to pack. This could be very
* slow for large number of items (>100) as it adds a cubic component
* to the complexity.
*/
bool try_triplets = false;
/**
* The initial fill proportion of the bin area that will be filled before
* trying items one by one, or pairs or triplets.
*
* The initial fill proportion suggested by
* [López-Camacho]\
* (http://www.cs.stir.ac.uk/~goc/papers/EffectiveHueristic2DAOR2013.pdf)
* is one third of the area of bin.
*/
double initial_fill_proportion = 1.0/3.0;
/**
* @brief How much is the acceptable waste incremented at each iteration
*/
double waste_increment = 0.1;
/**
* @brief Allow parallel jobs for filling multiple bins.
*
* This will decrease the soution quality but can greatly boost up
* performance for large number of items.
*/
bool allow_parallel = true;
/**
* @brief Always use parallel processing if the items don't fit into
* one bin.
*/
bool force_parallel = false;
};
private:
using Base::packed_bins_;
using ItemGroup = typename Base::ItemGroup;
using Container = ItemGroup;
Container store_;
Config config_;
static const unsigned MAX_ITEMS_SEQUENTIALLY = 30;
static const unsigned MAX_VERTICES_SEQUENTIALLY = MAX_ITEMS_SEQUENTIALLY*20;
public:
inline void configure(const Config& config) {
config_ = config;
}
template<class TPlacer, class TIterator,
class TBin = typename PlacementStrategyLike<TPlacer>::BinType,
class PConfig = typename PlacementStrategyLike<TPlacer>::Config>
void packItems( TIterator first,
TIterator last,
const TBin& bin,
PConfig&& pconfig = PConfig() )
{
using Placer = PlacementStrategyLike<TPlacer>;
using ItemList = std::list<ItemRef>;
const double bin_area = sl::area(bin);
const double w = bin_area * config_.waste_increment;
const double INITIAL_FILL_PROPORTION = config_.initial_fill_proportion;
const double INITIAL_FILL_AREA = bin_area*INITIAL_FILL_PROPORTION;
store_.clear();
store_.reserve(last-first);
packed_bins_.clear();
std::copy(first, last, std::back_inserter(store_));
std::sort(store_.begin(), store_.end(), [](Item& i1, Item& i2) {
return i1.area() > i2.area();
});
size_t glob_vertex_count = 0;
std::for_each(store_.begin(), store_.end(),
[&glob_vertex_count](const Item& item) {
glob_vertex_count += item.vertexCount();
});
std::vector<Placer> placers;
bool try_reverse = config_.try_reverse_order;
// Will use a subroutine to add a new bin
auto addBin = [this, &placers, &bin, &pconfig]()
{
placers.emplace_back(bin);
packed_bins_.emplace_back();
placers.back().configure(pconfig);
};
// Types for pairs and triplets
using TPair = std::tuple<ItemRef, ItemRef>;
using TTriplet = std::tuple<ItemRef, ItemRef, ItemRef>;
// Method for checking a pair whether it was a pack failure.
auto check_pair = [](const std::vector<TPair>& wrong_pairs,
ItemRef i1, ItemRef i2)
{
return std::any_of(wrong_pairs.begin(), wrong_pairs.end(),
[&i1, &i2](const TPair& pair)
{
Item& pi1 = std::get<0>(pair), &pi2 = std::get<1>(pair);
Item& ri1 = i1, &ri2 = i2;
return (&pi1 == &ri1 && &pi2 == &ri2) ||
(&pi1 == &ri2 && &pi2 == &ri1);
});
};
// Method for checking if a triplet was a pack failure
auto check_triplet = [](
const std::vector<TTriplet>& wrong_triplets,
ItemRef i1,
ItemRef i2,
ItemRef i3)
{
return std::any_of(wrong_triplets.begin(),
wrong_triplets.end(),
[&i1, &i2, &i3](const TTriplet& tripl)
{
Item& pi1 = std::get<0>(tripl);
Item& pi2 = std::get<1>(tripl);
Item& pi3 = std::get<2>(tripl);
Item& ri1 = i1, &ri2 = i2, &ri3 = i3;
return (&pi1 == &ri1 && &pi2 == &ri2 && &pi3 == &ri3) ||
(&pi1 == &ri1 && &pi2 == &ri3 && &pi3 == &ri2) ||
(&pi1 == &ri2 && &pi2 == &ri1 && &pi3 == &ri3) ||
(&pi1 == &ri3 && &pi2 == &ri2 && &pi3 == &ri1);
});
};
using ItemListIt = typename ItemList::iterator;
auto largestPiece = [](ItemListIt it, ItemList& not_packed) {
return it == not_packed.begin()? std::next(it) : not_packed.begin();
};
auto secondLargestPiece = [&largestPiece](ItemListIt it,
ItemList& not_packed) {
auto ret = std::next(largestPiece(it, not_packed));
return ret == it? std::next(ret) : ret;
};
auto smallestPiece = [](ItemListIt it, ItemList& not_packed) {
auto last = std::prev(not_packed.end());
return it == last? std::prev(it) : last;
};
auto secondSmallestPiece = [&smallestPiece](ItemListIt it,
ItemList& not_packed) {
auto ret = std::prev(smallestPiece(it, not_packed));
return ret == it? std::prev(ret) : ret;
};
auto tryOneByOne = // Subroutine to try adding items one by one.
[&bin_area]
(Placer& placer, ItemList& not_packed,
double waste,
double& free_area,
double& filled_area)
{
double item_area = 0;
bool ret = false;
auto it = not_packed.begin();
auto pack = [&placer, &not_packed](ItemListIt it) {
return placer.pack(*it, rem(it, not_packed));
};
while(it != not_packed.end() && !ret &&
free_area - (item_area = it->get().area()) <= waste)
{
if(item_area <= free_area && pack(it) ) {
free_area -= item_area;
filled_area = bin_area - free_area;
ret = true;
} else
it++;
}
if(ret) not_packed.erase(it);
return ret;
};
auto tryGroupsOfTwo = // Try adding groups of two items into the bin.
[&bin_area, &check_pair, &largestPiece, &smallestPiece,
try_reverse]
(Placer& placer, ItemList& not_packed,
double waste,
double& free_area,
double& filled_area)
{
double item_area = 0;
const auto endit = not_packed.end();
if(not_packed.size() < 2)
return false; // No group of two items
double largest_area = not_packed.front().get().area();
auto itmp = not_packed.begin(); itmp++;
double second_largest = itmp->get().area();
if( free_area - second_largest - largest_area > waste)
return false; // If even the largest two items do not fill
// the bin to the desired waste than we can end here.
bool ret = false;
auto it = not_packed.begin();
auto it2 = it;
std::vector<TPair> wrong_pairs;
using std::placeholders::_1;
auto trypack = [&placer, &not_packed](ItemListIt it) {
return placer.trypack(*it, rem(it, not_packed));
};
while(it != endit && !ret &&
free_area - (item_area = it->get().area()) -
largestPiece(it, not_packed)->get().area() <= waste)
{
if(item_area + smallestPiece(it, not_packed)->get().area() >
free_area ) { it++; continue; }
auto pr = trypack(it);
// First would fit
it2 = not_packed.begin();
double item2_area = 0;
while(it2 != endit && pr && !ret && free_area -
(item2_area = it2->get().area()) - item_area <= waste)
{
double area_sum = item_area + item2_area;
if(it == it2 || area_sum > free_area ||
check_pair(wrong_pairs, *it, *it2)) {
it2++; continue;
}
placer.accept(pr);
auto pr2 = trypack(it2);
if(!pr2) {
placer.unpackLast(); // remove first
if(try_reverse) {
pr2 = trypack(it2);
if(pr2) {
placer.accept(pr2);
auto pr12 = trypack(it);
if(pr12) {
placer.accept(pr12);
ret = true;
} else {
placer.unpackLast();
}
}
}
} else {
placer.accept(pr2); ret = true;
}
if(ret)
{ // Second fits as well
free_area -= area_sum;
filled_area = bin_area - free_area;
} else {
wrong_pairs.emplace_back(*it, *it2);
it2++;
}
}
if(!ret) it++;
}
if(ret) { not_packed.erase(it); not_packed.erase(it2); }
return ret;
};
auto tryGroupsOfThree = // Try adding groups of three items.
[&bin_area,
&smallestPiece, &largestPiece,
&secondSmallestPiece, &secondLargestPiece,
&check_pair, &check_triplet, try_reverse]
(Placer& placer, ItemList& not_packed,
double waste,
double& free_area,
double& filled_area)
{
auto np_size = not_packed.size();
if(np_size < 3) return false;
auto it = not_packed.begin(); // from
const auto endit = not_packed.end(); // to
auto it2 = it, it3 = it;
// Containers for pairs and triplets that were tried before and
// do not work.
std::vector<TPair> wrong_pairs;
std::vector<TTriplet> wrong_triplets;
auto cap = np_size*np_size / 2 ;
wrong_pairs.reserve(cap);
wrong_triplets.reserve(cap);
// Will be true if a succesfull pack can be made.
bool ret = false;
auto area = [](const ItemListIt& it) {
return it->get().area();
};
auto trypack = [&placer, &not_packed](ItemListIt it) {
return placer.trypack(*it, rem(it, not_packed));
};
auto pack = [&placer, &not_packed](ItemListIt it) {
return placer.pack(*it, rem(it, not_packed));
};
while (it != endit && !ret) { // drill down 1st level
// We need to determine in each iteration the largest, second
// largest, smallest and second smallest item in terms of area.
Item& largest = *largestPiece(it, not_packed);
Item& second_largest = *secondLargestPiece(it, not_packed);
double area_of_two_largest =
largest.area() + second_largest.area();
// Check if there is enough free area for the item and the two
// largest item
if(free_area - area(it) - area_of_two_largest > waste)
break;
// Determine the area of the two smallest item.
Item& smallest = *smallestPiece(it, not_packed);
Item& second_smallest = *secondSmallestPiece(it, not_packed);
// Check if there is enough free area for the item and the two
// smallest item.
double area_of_two_smallest =
smallest.area() + second_smallest.area();
if(area(it) + area_of_two_smallest > free_area) {
it++; continue;
}
auto pr = trypack(it);
// Check for free area and try to pack the 1st item...
if(!pr) { it++; continue; }
it2 = not_packed.begin();
double rem2_area = free_area - largest.area();
double a2_sum = 0;
while(it2 != endit && !ret &&
rem2_area - (a2_sum = area(it) + area(it2)) <= waste) {
// Drill down level 2
if(a2_sum != area(it) + area(it2)) throw -1;
if(it == it2 || check_pair(wrong_pairs, *it, *it2)) {
it2++; continue;
}
if(a2_sum + smallest.area() > free_area) {
it2++; continue;
}
bool can_pack2 = false;
placer.accept(pr);
auto pr2 = trypack(it2);
auto pr12 = pr;
if(!pr2) {
placer.unpackLast(); // remove first
if(try_reverse) {
pr2 = trypack(it2);
if(pr2) {
placer.accept(pr2);
pr12 = trypack(it);
if(pr12) can_pack2 = true;
placer.unpackLast();
}
}
} else {
placer.unpackLast();
can_pack2 = true;
}
if(!can_pack2) {
wrong_pairs.emplace_back(*it, *it2);
it2++;
continue;
}
// Now we have packed a group of 2 items.
// The 'smallest' variable now could be identical with
// it2 but we don't bother with that
it3 = not_packed.begin();
double a3_sum = 0;
while(it3 != endit && !ret &&
free_area - (a3_sum = a2_sum + area(it3)) <= waste) {
// 3rd level
if(it3 == it || it3 == it2 ||
check_triplet(wrong_triplets, *it, *it2, *it3))
{ it3++; continue; }
if(a3_sum > free_area) { it3++; continue; }
placer.accept(pr12); placer.accept(pr2);
bool can_pack3 = pack(it3);
if(!can_pack3) {
placer.unpackLast();
placer.unpackLast();
}
if(!can_pack3 && try_reverse) {
std::array<size_t, 3> indices = {0, 1, 2};
std::array<typename ItemList::iterator, 3>
candidates = {it, it2, it3};
auto tryPack = [&placer, &candidates, &pack](
const decltype(indices)& idx)
{
std::array<bool, 3> packed = {false};
for(auto id : idx) packed.at(id) =
pack(candidates[id]);
bool check =
std::all_of(packed.begin(),
packed.end(),
[](bool b) { return b; });
if(!check) for(bool b : packed) if(b)
placer.unpackLast();
return check;
};
while (!can_pack3 && std::next_permutation(
indices.begin(),
indices.end())){
can_pack3 = tryPack(indices);
};
}
if(can_pack3) {
// finishit
free_area -= a3_sum;
filled_area = bin_area - free_area;
ret = true;
} else {
wrong_triplets.emplace_back(*it, *it2, *it3);
it3++;
}
} // 3rd while
if(!ret) it2++;
} // Second while
if(!ret) it++;
} // First while
if(ret) { // If we eventually succeeded, remove all the packed ones.
not_packed.erase(it);
not_packed.erase(it2);
not_packed.erase(it3);
}
return ret;
};
// Safety test: try to pack each item into an empty bin. If it fails
// then it should be removed from the not_packed list
{ auto it = store_.begin();
while (it != store_.end() && !this->stopcond_()) {
Placer p(bin); p.configure(pconfig);
if(!p.pack(*it, rem(it, store_))) {
it = store_.erase(it);
} else it++;
}
}
int acounter = int(store_.size());
std::atomic_flag flg = ATOMIC_FLAG_INIT;
SpinLock slock(flg);
auto makeProgress = [this, &acounter, &slock]
(Placer& placer, size_t idx, int packednum)
{
packed_bins_[idx] = placer.getItems();
// TODO here should be a spinlock
slock.lock();
acounter -= packednum;
this->progress_(acounter);
slock.unlock();
};
double items_area = 0;
for(Item& item : store_) items_area += item.area();
// Number of bins that will definitely be needed
auto bincount_guess = unsigned(std::ceil(items_area / bin_area));
// Do parallel if feasible
bool do_parallel = config_.allow_parallel && bincount_guess > 1 &&
((glob_vertex_count > MAX_VERTICES_SEQUENTIALLY ||
store_.size() > MAX_ITEMS_SEQUENTIALLY) ||
config_.force_parallel);
if(do_parallel) dout() << "Parallel execution..." << "\n";
bool do_pairs = config_.try_pairs;
bool do_triplets = config_.try_triplets;
StopCondition stopcond = this->stopcond_;
// The DJD heuristic algorithm itself:
auto packjob = [INITIAL_FILL_AREA, bin_area, w, do_triplets, do_pairs,
stopcond,
&tryOneByOne,
&tryGroupsOfTwo,
&tryGroupsOfThree,
&makeProgress]
(Placer& placer, ItemList& not_packed, size_t idx)
{
double filled_area = placer.filledArea();
double free_area = bin_area - filled_area;
double waste = .0;
bool lasttry = false;
while(!not_packed.empty() && !stopcond()) {
{// Fill the bin up to INITIAL_FILL_PROPORTION of its capacity
auto it = not_packed.begin();
while(it != not_packed.end() && !stopcond() &&
filled_area < INITIAL_FILL_AREA)
{
if(placer.pack(*it, rem(it, not_packed))) {
filled_area += it->get().area();
free_area = bin_area - filled_area;
it = not_packed.erase(it);
makeProgress(placer, idx, 1);
} else it++;
}
}
// try pieces one by one
while(tryOneByOne(placer, not_packed, waste, free_area,
filled_area)) {
waste = 0; lasttry = false;
makeProgress(placer, idx, 1);
}
// try groups of 2 pieces
while(do_pairs &&
tryGroupsOfTwo(placer, not_packed, waste, free_area,
filled_area)) {
waste = 0; lasttry = false;
makeProgress(placer, idx, 2);
}
// try groups of 3 pieces
while(do_triplets &&
tryGroupsOfThree(placer, not_packed, waste, free_area,
filled_area)) {
waste = 0; lasttry = false;
makeProgress(placer, idx, 3);
}
waste += w;
if(!lasttry && waste > free_area) lasttry = true;
else if(lasttry) break;
}
};
size_t idx = 0;
ItemList remaining;
if(do_parallel) {
std::vector<ItemList> not_packeds(bincount_guess);
// Preallocating the bins
for(unsigned b = 0; b < bincount_guess; b++) {
addBin();
ItemList& not_packed = not_packeds[b];
for(unsigned idx = b; idx < store_.size(); idx+=bincount_guess) {
not_packed.push_back(store_[idx]);
}
}
// The parallel job
auto job = [&placers, &not_packeds, &packjob](unsigned idx) {
Placer& placer = placers[idx];
ItemList& not_packed = not_packeds[idx];
return packjob(placer, not_packed, idx);
};
// We will create jobs for each bin
std::vector<std::future<void>> rets(bincount_guess);
for(unsigned b = 0; b < bincount_guess; b++) { // launch the jobs
rets[b] = std::async(std::launch::async, job, b);
}
for(unsigned fi = 0; fi < rets.size(); ++fi) {
rets[fi].wait();
// Collect remaining items while waiting for the running jobs
remaining.merge( not_packeds[fi], [](Item& i1, Item& i2) {
return i1.area() > i2.area();
});
}
idx = placers.size();
// Try to put the remaining items into one of the packed bins
if(remaining.size() <= placers.size())
for(size_t j = 0; j < idx && !remaining.empty(); j++) {
packjob(placers[j], remaining, j);
}
} else {
remaining = ItemList(store_.begin(), store_.end());
}
while(!remaining.empty()) {
addBin();
packjob(placers[idx], remaining, idx); idx++;
}
}
};
}
}
#endif // DJD_HEURISTIC_HPP

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#ifndef FILLER_HPP
#define FILLER_HPP
#include "selection_boilerplate.hpp"
namespace libnest2d { namespace selections {
template<class RawShape>
class _FillerSelection: public SelectionBoilerplate<RawShape> {
using Base = SelectionBoilerplate<RawShape>;
public:
using typename Base::Item;
using Config = int; //dummy
private:
using Base::packed_bins_;
using typename Base::ItemGroup;
using Container = ItemGroup;
Container store_;
public:
void configure(const Config& /*config*/) { }
template<class TPlacer, class TIterator,
class TBin = typename PlacementStrategyLike<TPlacer>::BinType,
class PConfig = typename PlacementStrategyLike<TPlacer>::Config>
void packItems(TIterator first,
TIterator last,
TBin&& bin,
PConfig&& pconfig = PConfig())
{
store_.clear();
auto total = last-first;
store_.reserve(total);
packed_bins_.emplace_back();
auto makeProgress = [this, &total](
PlacementStrategyLike<TPlacer>& placer)
{
packed_bins_.back() = placer.getItems();
#ifndef NDEBUG
packed_bins_.back().insert(packed_bins_.back().end(),
placer.getDebugItems().begin(),
placer.getDebugItems().end());
#endif
this->progress_(--total);
};
std::copy(first, last, std::back_inserter(store_));
auto sortfunc = [](Item& i1, Item& i2) {
return i1.area() > i2.area();
};
std::sort(store_.begin(), store_.end(), sortfunc);
PlacementStrategyLike<TPlacer> placer(bin);
placer.configure(pconfig);
auto it = store_.begin();
while(it != store_.end() && !this->stopcond_()) {
if(!placer.pack(*it, {std::next(it), store_.end()})) {
if(packed_bins_.back().empty()) ++it;
placer.clearItems();
packed_bins_.emplace_back();
} else {
makeProgress(placer);
++it;
}
}
}
};
}
}
#endif //BOTTOMLEFT_HPP

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#ifndef FIRSTFIT_HPP
#define FIRSTFIT_HPP
#include "selection_boilerplate.hpp"
namespace libnest2d { namespace selections {
template<class RawShape>
class _FirstFitSelection: public SelectionBoilerplate<RawShape> {
using Base = SelectionBoilerplate<RawShape>;
public:
using typename Base::Item;
using Config = int; //dummy
private:
using Base::packed_bins_;
using typename Base::ItemGroup;
using Container = ItemGroup;//typename std::vector<_Item<RawShape>>;
Container store_;
public:
void configure(const Config& /*config*/) { }
template<class TPlacer, class TIterator,
class TBin = typename PlacementStrategyLike<TPlacer>::BinType,
class PConfig = typename PlacementStrategyLike<TPlacer>::Config>
void packItems(TIterator first,
TIterator last,
TBin&& bin,
PConfig&& pconfig = PConfig())
{
using Placer = PlacementStrategyLike<TPlacer>;
store_.clear();
store_.reserve(last-first);
packed_bins_.clear();
std::vector<Placer> placers;
placers.reserve(last-first);
std::copy(first, last, std::back_inserter(store_));
auto sortfunc = [](Item& i1, Item& i2) {
return i1.area() > i2.area();
};
std::sort(store_.begin(), store_.end(), sortfunc);
auto total = last-first;
auto makeProgress = [this, &total](Placer& placer, size_t idx) {
packed_bins_[idx] = placer.getItems();
this->progress_(static_cast<unsigned>(--total));
};
auto& cancelled = this->stopcond_;
// Safety test: try to pack each item into an empty bin. If it fails
// then it should be removed from the list
{ auto it = store_.begin();
while (it != store_.end() && !cancelled()) {
Placer p(bin); p.configure(pconfig);
if(!p.pack(*it)) {
it = store_.erase(it);
} else it++;
}
}
auto it = store_.begin();
while(it != store_.end() && !cancelled()) {
bool was_packed = false;
size_t j = 0;
while(!was_packed && !cancelled()) {
for(; j < placers.size() && !was_packed && !cancelled(); j++) {
if((was_packed = placers[j].pack(*it, rem(it, store_) )))
makeProgress(placers[j], j);
}
if(!was_packed) {
placers.emplace_back(bin);
placers.back().configure(pconfig);
packed_bins_.emplace_back();
j = placers.size() - 1;
}
}
++it;
}
}
};
}
}
#endif // FIRSTFIT_HPP

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#ifndef SELECTION_BOILERPLATE_HPP
#define SELECTION_BOILERPLATE_HPP
#include <atomic>
#include <libnest2d/libnest2d.hpp>
namespace libnest2d { namespace selections {
template<class RawShape>
class SelectionBoilerplate {
public:
using Item = _Item<RawShape>;
using ItemRef = std::reference_wrapper<Item>;
using ItemGroup = std::vector<ItemRef>;
using PackGroup = std::vector<ItemGroup>;
size_t binCount() const { return packed_bins_.size(); }
ItemGroup itemsForBin(size_t binIndex) {
assert(binIndex < packed_bins_.size());
return packed_bins_[binIndex];
}
inline const ItemGroup itemsForBin(size_t binIndex) const {
assert(binIndex < packed_bins_.size());
return packed_bins_[binIndex];
}
inline void progressIndicator(ProgressFunction fn) { progress_ = fn; }
inline void stopCondition(StopCondition cond) { stopcond_ = cond; }
protected:
PackGroup packed_bins_;
ProgressFunction progress_ = [](unsigned){};
StopCondition stopcond_ = [](){ return false; };
};
}
}
#endif // SELECTION_BOILERPLATE_HPP

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#ifndef BOOST_ALG_HPP
#define BOOST_ALG_HPP
#ifndef DISABLE_BOOST_SERIALIZE
#include <sstream>
#endif
#ifdef __clang__
#undef _MSC_EXTENSIONS
#endif
#ifdef _MSC_VER
#pragma warning(push)
#pragma warning(disable: 4244)
#pragma warning(disable: 4267)
#endif
#include <boost/geometry.hpp>
#ifdef _MSC_VER
#pragma warning(pop)
#endif
// this should be removed to not confuse the compiler
// #include <libnest2d.h>
namespace bp2d {
using libnest2d::TCoord;
using libnest2d::PointImpl;
using Coord = TCoord<PointImpl>;
using libnest2d::PolygonImpl;
using libnest2d::PathImpl;
using libnest2d::Orientation;
using libnest2d::OrientationType;
using libnest2d::getX;
using libnest2d::getY;
using libnest2d::setX;
using libnest2d::setY;
using Box = libnest2d::_Box<PointImpl>;
using Segment = libnest2d::_Segment<PointImpl>;
using Shapes = libnest2d::nfp::Shapes<PolygonImpl>;
}
/**
* We have to make all the libnest2d geometry types available to boost. The real
* models of the geometries remain the same if a conforming model for libnest2d
* was defined by the library client. Boost is used only as an optional
* implementer of some algorithms that can be implemented by the model itself
* if a faster alternative exists.
*
* However, boost has its own type traits and we have to define the needed
* specializations to be able to use boost::geometry. This can be done with the
* already provided model.
*/
namespace boost {
namespace geometry {
namespace traits {
/* ************************************************************************** */
/* Point concept adaptaion ************************************************** */
/* ************************************************************************** */
template<> struct tag<bp2d::PointImpl> {
using type = point_tag;
};
template<> struct coordinate_type<bp2d::PointImpl> {
using type = bp2d::Coord;
};
template<> struct coordinate_system<bp2d::PointImpl> {
using type = cs::cartesian;
};
template<> struct dimension<bp2d::PointImpl>: boost::mpl::int_<2> {};
template<>
struct access<bp2d::PointImpl, 0 > {
static inline bp2d::Coord get(bp2d::PointImpl const& a) {
return libnest2d::getX(a);
}
static inline void set(bp2d::PointImpl& a,
bp2d::Coord const& value) {
libnest2d::setX(a, value);
}
};
template<>
struct access<bp2d::PointImpl, 1 > {
static inline bp2d::Coord get(bp2d::PointImpl const& a) {
return libnest2d::getY(a);
}
static inline void set(bp2d::PointImpl& a,
bp2d::Coord const& value) {
libnest2d::setY(a, value);
}
};
/* ************************************************************************** */
/* Box concept adaptaion **************************************************** */
/* ************************************************************************** */
template<> struct tag<bp2d::Box> {
using type = box_tag;
};
template<> struct point_type<bp2d::Box> {
using type = bp2d::PointImpl;
};
template<> struct indexed_access<bp2d::Box, min_corner, 0> {
static inline bp2d::Coord get(bp2d::Box const& box) {
return bp2d::getX(box.minCorner());
}
static inline void set(bp2d::Box &box, bp2d::Coord const& coord) {
bp2d::setX(box.minCorner(), coord);
}
};
template<> struct indexed_access<bp2d::Box, min_corner, 1> {
static inline bp2d::Coord get(bp2d::Box const& box) {
return bp2d::getY(box.minCorner());
}
static inline void set(bp2d::Box &box, bp2d::Coord const& coord) {
bp2d::setY(box.minCorner(), coord);
}
};
template<> struct indexed_access<bp2d::Box, max_corner, 0> {
static inline bp2d::Coord get(bp2d::Box const& box) {
return bp2d::getX(box.maxCorner());
}
static inline void set(bp2d::Box &box, bp2d::Coord const& coord) {
bp2d::setX(box.maxCorner(), coord);
}
};
template<> struct indexed_access<bp2d::Box, max_corner, 1> {
static inline bp2d::Coord get(bp2d::Box const& box) {
return bp2d::getY(box.maxCorner());
}
static inline void set(bp2d::Box &box, bp2d::Coord const& coord) {
bp2d::setY(box.maxCorner(), coord);
}
};
/* ************************************************************************** */
/* Segment concept adaptaion ************************************************ */
/* ************************************************************************** */
template<> struct tag<bp2d::Segment> {
using type = segment_tag;
};
template<> struct point_type<bp2d::Segment> {
using type = bp2d::PointImpl;
};
template<> struct indexed_access<bp2d::Segment, 0, 0> {
static inline bp2d::Coord get(bp2d::Segment const& seg) {
return bp2d::getX(seg.first());
}
static inline void set(bp2d::Segment &seg, bp2d::Coord const& coord) {
auto p = seg.first(); bp2d::setX(p, coord); seg.first(p);
}
};
template<> struct indexed_access<bp2d::Segment, 0, 1> {
static inline bp2d::Coord get(bp2d::Segment const& seg) {
return bp2d::getY(seg.first());
}
static inline void set(bp2d::Segment &seg, bp2d::Coord const& coord) {
auto p = seg.first(); bp2d::setY(p, coord); seg.first(p);
}
};
template<> struct indexed_access<bp2d::Segment, 1, 0> {
static inline bp2d::Coord get(bp2d::Segment const& seg) {
return bp2d::getX(seg.second());
}
static inline void set(bp2d::Segment &seg, bp2d::Coord const& coord) {
auto p = seg.second(); bp2d::setX(p, coord); seg.second(p);
}
};
template<> struct indexed_access<bp2d::Segment, 1, 1> {
static inline bp2d::Coord get(bp2d::Segment const& seg) {
return bp2d::getY(seg.second());
}
static inline void set(bp2d::Segment &seg, bp2d::Coord const& coord) {
auto p = seg.second(); bp2d::setY(p, coord); seg.second(p);
}
};
/* ************************************************************************** */
/* Polygon concept adaptation *********************************************** */
/* ************************************************************************** */
// Connversion between libnest2d::Orientation and order_selector ///////////////
template<bp2d::Orientation> struct ToBoostOrienation {};
template<>
struct ToBoostOrienation<bp2d::Orientation::CLOCKWISE> {
static const order_selector Value = clockwise;
};
template<>
struct ToBoostOrienation<bp2d::Orientation::COUNTER_CLOCKWISE> {
static const order_selector Value = counterclockwise;
};
static const bp2d::Orientation RealOrientation =
bp2d::OrientationType<bp2d::PolygonImpl>::Value;
// Ring implementation /////////////////////////////////////////////////////////
// Boost would refer to ClipperLib::Path (alias bp2d::PolygonImpl) as a ring
template<> struct tag<bp2d::PathImpl> {
using type = ring_tag;
};
template<> struct point_order<bp2d::PathImpl> {
static const order_selector value =
ToBoostOrienation<RealOrientation>::Value;
};
// All our Paths should be closed for the bin packing application
template<> struct closure<bp2d::PathImpl> {
static const closure_selector value = closed;
};
// Polygon implementation //////////////////////////////////////////////////////
template<> struct tag<bp2d::PolygonImpl> {
using type = polygon_tag;
};
template<> struct exterior_ring<bp2d::PolygonImpl> {
static inline bp2d::PathImpl& get(bp2d::PolygonImpl& p) {
return libnest2d::shapelike::contour(p);
}
static inline bp2d::PathImpl const& get(bp2d::PolygonImpl const& p) {
return libnest2d::shapelike::contour(p);
}
};
template<> struct ring_const_type<bp2d::PolygonImpl> {
using type = const bp2d::PathImpl&;
};
template<> struct ring_mutable_type<bp2d::PolygonImpl> {
using type = bp2d::PathImpl&;
};
template<> struct interior_const_type<bp2d::PolygonImpl> {
using type = const libnest2d::THolesContainer<bp2d::PolygonImpl>&;
};
template<> struct interior_mutable_type<bp2d::PolygonImpl> {
using type = libnest2d::THolesContainer<bp2d::PolygonImpl>&;
};
template<>
struct interior_rings<bp2d::PolygonImpl> {
static inline libnest2d::THolesContainer<bp2d::PolygonImpl>& get(
bp2d::PolygonImpl& p)
{
return libnest2d::shapelike::holes(p);
}
static inline const libnest2d::THolesContainer<bp2d::PolygonImpl>& get(
bp2d::PolygonImpl const& p)
{
return libnest2d::shapelike::holes(p);
}
};
/* ************************************************************************** */
/* MultiPolygon concept adaptation ****************************************** */
/* ************************************************************************** */
template<> struct tag<bp2d::Shapes> {
using type = multi_polygon_tag;
};
} // traits
} // geometry
// This is an addition to the ring implementation of Polygon concept
template<>
struct range_value<bp2d::PathImpl> {
using type = bp2d::PointImpl;
};
template<>
struct range_value<bp2d::Shapes> {
using type = bp2d::PolygonImpl;
};
} // boost
/* ************************************************************************** */
/* Algorithms *************************************************************** */
/* ************************************************************************** */
namespace libnest2d { // Now the algorithms that boost can provide...
namespace pointlike {
template<>
inline double distance(const PointImpl& p1, const PointImpl& p2 )
{
return boost::geometry::distance(p1, p2);
}
template<>
inline double distance(const PointImpl& p, const bp2d::Segment& seg )
{
return boost::geometry::distance(p, seg);
}
}
namespace shapelike {
// Tell libnest2d how to make string out of a ClipperPolygon object
template<>
inline bool intersects(const PathImpl& sh1, const PathImpl& sh2)
{
return boost::geometry::intersects(sh1, sh2);
}
// Tell libnest2d how to make string out of a ClipperPolygon object
template<>
inline bool intersects(const PolygonImpl& sh1, const PolygonImpl& sh2)
{
return boost::geometry::intersects(sh1, sh2);
}
// Tell libnest2d how to make string out of a ClipperPolygon object
template<>
inline bool intersects(const bp2d::Segment& s1, const bp2d::Segment& s2)
{
return boost::geometry::intersects(s1, s2);
}
#ifndef DISABLE_BOOST_AREA
template<>
inline double area(const PolygonImpl& shape, const PolygonTag&)
{
return boost::geometry::area(shape);
}
#endif
template<>
inline bool isInside(const PointImpl& point, const PolygonImpl& shape)
{
return boost::geometry::within(point, shape);
}
template<>
inline bool isInside(const PolygonImpl& sh1, const PolygonImpl& sh2)
{
return boost::geometry::within(sh1, sh2);
}
template<>
inline bool touches(const PolygonImpl& sh1, const PolygonImpl& sh2)
{
return boost::geometry::touches(sh1, sh2);
}
template<>
inline bool touches( const PointImpl& point, const PolygonImpl& shape)
{
return boost::geometry::touches(point, shape);
}
#ifndef DISABLE_BOOST_BOUNDING_BOX
template<>
inline bp2d::Box boundingBox(const PolygonImpl& sh, const PolygonTag&)
{
bp2d::Box b;
boost::geometry::envelope(sh, b);
return b;
}
template<>
inline bp2d::Box boundingBox(const PathImpl& sh, const PolygonTag&)
{
bp2d::Box b;
boost::geometry::envelope(sh, b);
return b;
}
template<>
inline bp2d::Box boundingBox<bp2d::Shapes>(const bp2d::Shapes& shapes,
const MultiPolygonTag&)
{
bp2d::Box b;
boost::geometry::envelope(shapes, b);
return b;
}
#endif
#ifndef DISABLE_BOOST_CONVEX_HULL
template<>
inline PolygonImpl convexHull(const PolygonImpl& sh, const PolygonTag&)
{
PolygonImpl ret;
boost::geometry::convex_hull(sh, ret);
return ret;
}
template<>
inline PolygonImpl convexHull(const TMultiShape<PolygonImpl>& shapes,
const MultiPolygonTag&)
{
PolygonImpl ret;
boost::geometry::convex_hull(shapes, ret);
return ret;
}
#endif
#ifndef DISABLE_BOOST_OFFSET
template<>
inline void offset(PolygonImpl& sh, bp2d::Coord distance)
{
PolygonImpl cpy = sh;
boost::geometry::buffer(cpy, sh, distance);
}
#endif
#ifndef DISABLE_BOOST_SERIALIZE
template<> inline std::string serialize<libnest2d::Formats::SVG>(
const PolygonImpl& sh, double scale)
{
std::stringstream ss;
std::string style = "fill: none; stroke: black; stroke-width: 1px;";
using namespace boost::geometry;
using Pointf = model::point<double, 2, cs::cartesian>;
using Polygonf = model::polygon<Pointf>;
Polygonf::ring_type ring;
Polygonf::inner_container_type holes;
ring.reserve(shapelike::contourVertexCount(sh));
for(auto it = shapelike::cbegin(sh); it != shapelike::cend(sh); it++) {
auto& v = *it;
ring.emplace_back(getX(v)*scale, getY(v)*scale);
};
auto H = shapelike::holes(sh);
for(PathImpl& h : H ) {
Polygonf::ring_type hf;
for(auto it = h.begin(); it != h.end(); it++) {
auto& v = *it;
hf.emplace_back(getX(v)*scale, getY(v)*scale);
};
holes.push_back(hf);
}
Polygonf poly;
poly.outer() = ring;
poly.inners() = holes;
auto svg_data = boost::geometry::svg(poly, style);
ss << svg_data << std::endl;
return ss.str();
}
#endif
#ifndef DISABLE_BOOST_UNSERIALIZE
template<>
inline void unserialize<libnest2d::Formats::SVG>(
PolygonImpl& sh,
const std::string& str)
{
}
#endif
template<> inline std::pair<bool, std::string> isValid(const PolygonImpl& sh)
{
std::string message;
bool ret = boost::geometry::is_valid(sh, message);
return {ret, message};
}
}
namespace nfp {
#ifndef DISABLE_BOOST_NFP_MERGE
// Warning: I could not get boost union_ to work. Geometries will overlap.
template<>
inline bp2d::Shapes nfp::merge(const bp2d::Shapes& shapes,
const PolygonImpl& sh)
{
bp2d::Shapes retv;
boost::geometry::union_(shapes, sh, retv);
return retv;
}
template<>
inline bp2d::Shapes nfp::merge(const bp2d::Shapes& shapes)
{
bp2d::Shapes retv;
boost::geometry::union_(shapes, shapes.back(), retv);
return retv;
}
#endif
}
}
#endif // BOOST_ALG_HPP

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#ifndef METALOOP_HPP
#define METALOOP_HPP
#include <libnest2d/common.hpp>
#include <tuple>
#include <functional>
namespace libnest2d {
/* ************************************************************************** */
/* C++14 std::index_sequence implementation: */
/* ************************************************************************** */
/**
* \brief C++11 compatible implementation of the index_sequence type from C++14
*/
template<size_t...Ints> struct index_sequence {
using value_type = size_t;
BP2D_CONSTEXPR value_type size() const { return sizeof...(Ints); }
};
// A Help structure to generate the integer list
template<size_t...Nseq> struct genSeq;
// Recursive template to generate the list
template<size_t I, size_t...Nseq> struct genSeq<I, Nseq...> {
// Type will contain a genSeq with Nseq appended by one element
using Type = typename genSeq< I - 1, I - 1, Nseq...>::Type;
};
// Terminating recursion
template <size_t ... Nseq> struct genSeq<0, Nseq...> {
// If I is zero, Type will contain index_sequence with the fuly generated
// integer list.
using Type = index_sequence<Nseq...>;
};
/// Helper alias to make an index sequence from 0 to N
template<size_t N> using make_index_sequence = typename genSeq<N>::Type;
/// Helper alias to make an index sequence for a parameter pack
template<class...Args>
using index_sequence_for = make_index_sequence<sizeof...(Args)>;
/* ************************************************************************** */
namespace opt {
using std::forward;
using std::tuple;
using std::get;
using std::tuple_element;
/**
* @brief Helper class to be able to loop over a parameter pack's elements.
*/
class metaloop {
// The implementation is based on partial struct template specializations.
// Basically we need a template type that is callable and takes an integer
// non-type template parameter which can be used to implement recursive calls.
//
// C++11 will not allow the usage of a plain template function that is why we
// use struct with overloaded call operator. At the same time C++11 prohibits
// partial template specialization with a non type parameter such as int. We
// need to wrap that in a type (see metaloop::Int).
/*
* A helper alias to create integer values wrapped as a type. It is necessary
* because a non type template parameter (such as int) would be prohibited in
* a partial specialization. Also for the same reason we have to use a class
* _Metaloop instead of a simple function as a functor. A function cannot be
* partially specialized in a way that is necessary for this trick.
*/
template<int N> using Int = std::integral_constant<int, N>;
/*
* Helper class to implement in-place functors.
*
* We want to be able to use inline functors like a lambda to keep the code
* as clear as possible.
*/
template<int N, class Fn> class MapFn {
Fn&& fn_;
public:
// It takes the real functor that can be specified in-place but only
// with C++14 because the second parameter's type will depend on the
// type of the parameter pack element that is processed. In C++14 we can
// specify this second parameter type as auto in the lambda parameter list.
inline MapFn(Fn&& fn): fn_(forward<Fn>(fn)) {}
template<class T> void operator ()(T&& pack_element) {
// We provide the index as the first parameter and the pack (or tuple)
// element as the second parameter to the functor.
fn_(N, forward<T>(pack_element));
}
};
/*
* Implementation of the template loop trick.
* We create a mechanism for looping over a parameter pack in compile time.
* \tparam Idx is the loop index which will be decremented at each recursion.
* \tparam Args The parameter pack that will be processed.
*
*/
template <typename Idx, class...Args>
class _MetaLoop {};
// Implementation for the first element of Args...
template <class...Args>
class _MetaLoop<Int<0>, Args...> {
public:
const static BP2D_CONSTEXPR int N = 0;
const static BP2D_CONSTEXPR int ARGNUM = sizeof...(Args)-1;
template<class Tup, class Fn>
void run( Tup&& valtup, Fn&& fn) {
MapFn<ARGNUM-N, Fn> {forward<Fn>(fn)} (get<ARGNUM-N>(valtup));
}
};
// Implementation for the N-th element of Args...
template <int N, class...Args>
class _MetaLoop<Int<N>, Args...> {
public:
const static BP2D_CONSTEXPR int ARGNUM = sizeof...(Args)-1;
template<class Tup, class Fn>
void run(Tup&& valtup, Fn&& fn) {
MapFn<ARGNUM-N, Fn> {forward<Fn>(fn)} (std::get<ARGNUM-N>(valtup));
// Recursive call to process the next element of Args
_MetaLoop<Int<N-1>, Args...> ().run(forward<Tup>(valtup),
forward<Fn>(fn));
}
};
/*
* Instantiation: We must instantiate the template with the last index because
* the generalized version calls the decremented instantiations recursively.
* Once the instantiation with the first index is called, the terminating
* version of run is called which does not call itself anymore.
*
* If you are utterly annoyed, at least you have learned a super crazy
* functional meta-programming pattern.
*/
template<class...Args>
using MetaLoop = _MetaLoop<Int<sizeof...(Args)-1>, Args...>;
public:
/**
* \brief The final usable function template.
*
* This is similar to what varags was on C but in compile time C++11.
* You can call:
* apply(<the mapping function>, <arbitrary number of arguments of any type>);
* For example:
*
* struct mapfunc {
* template<class T> void operator()(int N, T&& element) {
* std::cout << "The value of the parameter "<< N <<": "
* << element << std::endl;
* }
* };
*
* apply(mapfunc(), 'a', 10, 151.545);
*
* C++14:
* apply([](int N, auto&& element){
* std::cout << "The value of the parameter "<< N <<": "
* << element << std::endl;
* }, 'a', 10, 151.545);
*
* This yields the output:
* The value of the parameter 0: a
* The value of the parameter 1: 10
* The value of the parameter 2: 151.545
*
* As an addition, the function can be called with a tuple as the second
* parameter holding the arguments instead of a parameter pack.
*
*/
template<class...Args, class Fn>
inline static void apply(Fn&& fn, Args&&...args) {
MetaLoop<Args...>().run(tuple<Args&&...>(forward<Args>(args)...),
forward<Fn>(fn));
}
/// The version of apply with a tuple rvalue reference.
template<class...Args, class Fn>
inline static void apply(Fn&& fn, tuple<Args...>&& tup) {
MetaLoop<Args...>().run(std::move(tup), forward<Fn>(fn));
}
/// The version of apply with a tuple lvalue reference.
template<class...Args, class Fn>
inline static void apply(Fn&& fn, tuple<Args...>& tup) {
MetaLoop<Args...>().run(tup, forward<Fn>(fn));
}
/// The version of apply with a tuple const reference.
template<class...Args, class Fn>
inline static void apply(Fn&& fn, const tuple<Args...>& tup) {
MetaLoop<Args...>().run(tup, forward<Fn>(fn));
}
/**
* Call a function with its arguments encapsualted in a tuple.
*/
template<class Fn, class Tup, std::size_t...Is>
inline static auto
callFunWithTuple(Fn&& fn, Tup&& tup, index_sequence<Is...>) ->
decltype(fn(std::get<Is>(tup)...))
{
return fn(std::get<Is>(tup)...);
}
};
}
}
#endif // METALOOP_HPP

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#ifndef ROTFINDER_HPP
#define ROTFINDER_HPP
#include <libnest2d/libnest2d.hpp>
#include <libnest2d/optimizer.hpp>
#include <iterator>
namespace libnest2d {
template<class RawShape>
Radians findBestRotation(_Item<RawShape>& item) {
opt::StopCriteria stopcr;
stopcr.absolute_score_difference = 0.01;
stopcr.max_iterations = 10000;
opt::TOptimizer<opt::Method::G_GENETIC> solver(stopcr);
auto orig_rot = item.rotation();
auto result = solver.optimize_min([&item, &orig_rot](Radians rot){
item.rotation(orig_rot + rot);
auto bb = item.boundingBox();
return std::sqrt(bb.height()*bb.width());
}, opt::initvals(Radians(0)), opt::bound<Radians>(-Pi/2, Pi/2));
item.rotation(orig_rot);
return std::get<0>(result.optimum);
}
template<class Iterator>
void findMinimumBoundingBoxRotations(Iterator from, Iterator to) {
using V = typename std::iterator_traits<Iterator>::value_type;
std::for_each(from, to, [](V& item){
Radians rot = findBestRotation(item);
item.rotate(rot);
});
}
}
#endif // ROTFINDER_HPP