#ifndef slic3r_Point_hpp_
#define slic3r_Point_hpp_
#include "libslic3r.h"
#include <cstddef>
#include <vector>
#include <cmath>
#include <string>
#include <sstream>
#include <unordered_map>
#include <Eigen/Geometry>
#include "LocalesUtils.hpp"
namespace Slic3r {
class BoundingBox;
class BoundingBoxf;
class Point;
using Vector = Point;
// Base template for eigen derived vectors
template<int N, int M, class T>
using Mat = Eigen::Matrix<T, N, M, Eigen::DontAlign, N, M>;
template<int N, class T> using Vec = Mat<N, 1, T>;
template<typename NumberType>
using DynVec = Eigen::Matrix<NumberType, Eigen::Dynamic, 1>;
// Eigen types, to replace the Slic3r's own types in the future.
// Vector types with a fixed point coordinate base type.
using Vec2crd = Eigen::Matrix<coord_t, 2, 1, Eigen::DontAlign>;
using Vec3crd = Eigen::Matrix<coord_t, 3, 1, Eigen::DontAlign>;
using Vec2i = Eigen::Matrix<int, 2, 1, Eigen::DontAlign>;
using Vec3i = Eigen::Matrix<int, 3, 1, Eigen::DontAlign>;
using Vec4i = Eigen::Matrix<int, 4, 1, Eigen::DontAlign>;
using Vec2i32 = Eigen::Matrix<int32_t, 2, 1, Eigen::DontAlign>;
using Vec2i64 = Eigen::Matrix<int64_t, 2, 1, Eigen::DontAlign>;
using Vec3i32 = Eigen::Matrix<int32_t, 3, 1, Eigen::DontAlign>;
using Vec3i64 = Eigen::Matrix<int64_t, 3, 1, Eigen::DontAlign>;
// Vector types with a double coordinate base type.
using Vec2f = Eigen::Matrix<float, 2, 1, Eigen::DontAlign>;
using Vec3f = Eigen::Matrix<float, 3, 1, Eigen::DontAlign>;
using Vec4f = Eigen::Matrix<float, 4, 1, Eigen::DontAlign>;
using Vec2d = Eigen::Matrix<double, 2, 1, Eigen::DontAlign>;
using Vec3d = Eigen::Matrix<double, 3, 1, Eigen::DontAlign>;
using Vec4d = Eigen::Matrix<double, 4, 1, Eigen::DontAlign>;
using Points = std::vector<Point>;
using PointPtrs = std::vector<Point*>;
using PointConstPtrs = std::vector<const Point*>;
using Points3 = std::vector<Vec3crd>;
using Pointfs = std::vector<Vec2d>;
using Vec2ds = std::vector<Vec2d>;
using Pointf3s = std::vector<Vec3d>;
using Matrix2f = Eigen::Matrix<float, 2, 2, Eigen::DontAlign>;
using Matrix2d = Eigen::Matrix<double, 2, 2, Eigen::DontAlign>;
using Matrix3f = Eigen::Matrix<float, 3, 3, Eigen::DontAlign>;
using Matrix3d = Eigen::Matrix<double, 3, 3, Eigen::DontAlign>;
using Matrix4f = Eigen::Matrix<float, 4, 4, Eigen::DontAlign>;
using Matrix4d = Eigen::Matrix<double, 4, 4, Eigen::DontAlign>;
template<int N, class T>
using Transform = Eigen::Transform<float, N, Eigen::Affine, Eigen::DontAlign>;
using Transform2f = Eigen::Transform<float, 2, Eigen::Affine, Eigen::DontAlign>;
using Transform2d = Eigen::Transform<double, 2, Eigen::Affine, Eigen::DontAlign>;
using Transform3f = Eigen::Transform<float, 3, Eigen::Affine, Eigen::DontAlign>;
using Transform3d = Eigen::Transform<double, 3, Eigen::Affine, Eigen::DontAlign>;
// I don't know why Eigen::Transform::Identity() return a const object...
template<int N, class T> Transform<N, T> identity() { return Transform<N, T>::Identity(); }
inline const auto &identity3f = identity<3, float>;
inline const auto &identity3d = identity<3, double>;
inline bool operator<(const Vec2d &lhs, const Vec2d &rhs) { return lhs.x() < rhs.x() || (lhs.x() == rhs.x() && lhs.y() < rhs.y()); }
// Cross product of two 2D vectors.
// None of the vectors may be of int32_t type as the result would overflow.
template<typename Derived, typename Derived2>
inline typename Derived::Scalar cross2(const Eigen::MatrixBase<Derived> &v1, const Eigen::MatrixBase<Derived2> &v2)
{
static_assert(Derived::IsVectorAtCompileTime && int(Derived::SizeAtCompileTime) == 2, "cross2(): first parameter is not a 2D vector");
static_assert(Derived2::IsVectorAtCompileTime && int(Derived2::SizeAtCompileTime) == 2, "cross2(): first parameter is not a 2D vector");
static_assert(! std::is_same<typename Derived::Scalar, int32_t>::value, "cross2(): Scalar type must not be int32_t, otherwise the cross product would overflow.");
static_assert(std::is_same<typename Derived::Scalar, typename Derived2::Scalar>::value, "cross2(): Scalar types of 1st and 2nd operand must be equal.");
return v1.x() * v2.y() - v1.y() * v2.x();
}
// 2D vector perpendicular to the argument.
template<typename Derived>
inline Eigen::Matrix<typename Derived::Scalar, 2, 1, Eigen::DontAlign> perp(const Eigen::MatrixBase<Derived> &v)
{
static_assert(Derived::IsVectorAtCompileTime && int(Derived::SizeAtCompileTime) == 2, "perp(): parameter is not a 2D vector");
return { - v.y(), v.x() };
}
// Angle from v1 to v2, returning double atan2(y, x) normalized to <-PI, PI>.
template<typename Derived, typename Derived2>
inline double angle(const Eigen::MatrixBase<Derived> &v1, const Eigen::MatrixBase<Derived2> &v2) {
static_assert(Derived::IsVectorAtCompileTime && int(Derived::SizeAtCompileTime) == 2, "angle(): first parameter is not a 2D vector");
static_assert(Derived2::IsVectorAtCompileTime && int(Derived2::SizeAtCompileTime) == 2, "angle(): second parameter is not a 2D vector");
auto v1d = v1.template cast<double>();
auto v2d = v2.template cast<double>();
return atan2(cross2(v1d, v2d), v1d.dot(v2d));
}
template<typename Derived>
Eigen::Matrix<typename Derived::Scalar, 2, 1, Eigen::DontAlign> to_2d(const Eigen::MatrixBase<Derived> &ptN) {
static_assert(Derived::IsVectorAtCompileTime && int(Derived::SizeAtCompileTime) >= 3, "to_2d(): first parameter is not a 3D or higher dimensional vector");
return ptN.template head<2>();
}
template<typename Derived>
inline Eigen::Matrix<typename Derived::Scalar, 3, 1, Eigen::DontAlign> to_3d(const Eigen::MatrixBase<Derived> &pt, const typename Derived::Scalar z) {
static_assert(Derived::IsVectorAtCompileTime && int(Derived::SizeAtCompileTime) == 2, "to_3d(): first parameter is not a 2D vector");
return { pt.x(), pt.y(), z };
}
inline Vec2d unscale(coord_t x, coord_t y) { return Vec2d(unscale<double>(x), unscale<double>(y)); }
inline Vec2d unscale(const Vec2crd &pt) { return Vec2d(unscale<double>(pt.x()), unscale<double>(pt.y())); }
inline Vec2d unscale(const Vec2d &pt) { return Vec2d(unscale<double>(pt.x()), unscale<double>(pt.y())); }
inline Vec3d unscale(coord_t x, coord_t y, coord_t z) { return Vec3d(unscale<double>(x), unscale<double>(y), unscale<double>(z)); }
inline Vec3d unscale(const Vec3crd &pt) { return Vec3d(unscale<double>(pt.x()), unscale<double>(pt.y()), unscale<double>(pt.z())); }
inline Vec3d unscale(const Vec3d &pt) { return Vec3d(unscale<double>(pt.x()), unscale<double>(pt.y()), unscale<double>(pt.z())); }
inline std::string to_string(const Vec2crd &pt) { return std::string("[") + float_to_string_decimal_point(pt.x()) + ", " + float_to_string_decimal_point(pt.y()) + "]"; }
inline std::string to_string(const Vec2d &pt) { return std::string("[") + float_to_string_decimal_point(pt.x()) + ", " + float_to_string_decimal_point(pt.y()) + "]"; }
inline std::string to_string(const Vec3crd &pt) { return std::string("[") + float_to_string_decimal_point(pt.x()) + ", " + float_to_string_decimal_point(pt.y()) + ", " + float_to_string_decimal_point(pt.z()) + "]"; }
inline std::string to_string(const Vec3d &pt) { return std::string("[") + float_to_string_decimal_point(pt.x()) + ", " + float_to_string_decimal_point(pt.y()) + ", " + float_to_string_decimal_point(pt.z()) + "]"; }
std::vector<Vec3f> transform(const std::vector<Vec3f>& points, const Transform3f& t);
Pointf3s transform(const Pointf3s& points, const Transform3d& t);
template<int N, class T> using Vec = Eigen::Matrix<T, N, 1, Eigen::DontAlign, N, 1>;
class Point : public Vec2crd
{
public:
using coord_type = coord_t;
Point() : Vec2crd(0, 0) {}
Point(int32_t x, int32_t y) : Vec2crd(coord_t(x), coord_t(y)) {}
Point(int64_t x, int64_t y) : Vec2crd(coord_t(x), coord_t(y)) {}
Point(double x, double y) : Vec2crd(coord_t(std::round(x)), coord_t(std::round(y))) {}
Point(const Point &rhs) { *this = rhs; }
explicit Point(const Vec2d& rhs) : Vec2crd(coord_t(std::round(rhs.x())), coord_t(std::round(rhs.y()))) {}
// This constructor allows you to construct Point from Eigen expressions
template<typename OtherDerived>
Point(const Eigen::MatrixBase<OtherDerived> &other) : Vec2crd(other) {}
static Point new_scale(coordf_t x, coordf_t y) { return Point(coord_t(scale_(x)), coord_t(scale_(y))); }
static Point new_scale(const Vec2d &v) { return Point(coord_t(scale_(v.x())), coord_t(scale_(v.y()))); }
static Point new_scale(const Vec2f &v) { return Point(coord_t(scale_(v.x())), coord_t(scale_(v.y()))); }
// This method allows you to assign Eigen expressions to MyVectorType
template<typename OtherDerived>
Point& operator=(const Eigen::MatrixBase<OtherDerived> &other)
{
this->Vec2crd::operator=(other);
return *this;
}
Point& operator+=(const Point& rhs) { this->x() += rhs.x(); this->y() += rhs.y(); return *this; }
Point& operator-=(const Point& rhs) { this->x() -= rhs.x(); this->y() -= rhs.y(); return *this; }
Point& operator*=(const double &rhs) { this->x() = coord_t(this->x() * rhs); this->y() = coord_t(this->y() * rhs); return *this; }
Point operator*(const double &rhs) { return Point(this->x() * rhs, this->y() * rhs); }
void rotate(double angle) { this->rotate(std::cos(angle), std::sin(angle)); }
void rotate(double cos_a, double sin_a) {
double cur_x = (double)this->x();
double cur_y = (double)this->y();
this->x() = (coord_t)round(cos_a * cur_x - sin_a * cur_y);
this->y() = (coord_t)round(cos_a * cur_y + sin_a * cur_x);
}
void rotate(double angle, const Point ¢er);
Point rotated(double angle) const { Point res(*this); res.rotate(angle); return res; }
Point rotated(double cos_a, double sin_a) const { Point res(*this); res.rotate(cos_a, sin_a); return res; }
Point rotated(double angle, const Point ¢er) const { Point res(*this); res.rotate(angle, center); return res; }
};
inline bool operator<(const Point &l, const Point &r)
{
return l.x() < r.x() || (l.x() == r.x() && l.y() < r.y());
}
inline Point operator* (const Point& l, const double &r)
{
return {coord_t(l.x() * r), coord_t(l.y() * r)};
}
inline bool is_approx(const Point &p1, const Point &p2, coord_t epsilon = coord_t(SCALED_EPSILON))
{
Point d = (p2 - p1).cwiseAbs();
return d.x() < epsilon && d.y() < epsilon;
}
inline bool is_approx(const Vec2f &p1, const Vec2f &p2, float epsilon = float(EPSILON))
{
Vec2f d = (p2 - p1).cwiseAbs();
return d.x() < epsilon && d.y() < epsilon;
}
inline bool is_approx(const Vec2d &p1, const Vec2d &p2, double epsilon = EPSILON)
{
Vec2d d = (p2 - p1).cwiseAbs();
return d.x() < epsilon && d.y() < epsilon;
}
inline bool is_approx(const Vec3f &p1, const Vec3f &p2, float epsilon = float(EPSILON))
{
Vec3f d = (p2 - p1).cwiseAbs();
return d.x() < epsilon && d.y() < epsilon && d.z() < epsilon;
}
inline bool is_approx(const Vec3d &p1, const Vec3d &p2, double epsilon = EPSILON)
{
Vec3d d = (p2 - p1).cwiseAbs();
return d.x() < epsilon && d.y() < epsilon && d.z() < epsilon;
}
inline Point lerp(const Point &a, const Point &b, double t)
{
assert((t >= -EPSILON) && (t <= 1. + EPSILON));
return ((1. - t) * a.cast<double>() + t * b.cast<double>()).cast<coord_t>();
}
BoundingBox get_extents(const Points &pts);
BoundingBox get_extents(const std::vector<Points> &pts);
BoundingBoxf get_extents(const std::vector<Vec2d> &pts);
int nearest_point_index(const Points &points, const Point &pt);
inline std::pair<Point, bool> nearest_point(const Points &points, const Point &pt)
{
int idx = nearest_point_index(points, pt);
return idx == -1 ? std::make_pair(Point(), false) : std::make_pair(points[idx], true);
}
// Test for duplicate points in a vector of points.
// The points are copied, sorted and checked for duplicates globally.
bool has_duplicate_points(std::vector<Point> &&pts);
inline bool has_duplicate_points(const std::vector<Point> &pts)
{
std::vector<Point> cpy = pts;
return has_duplicate_points(std::move(cpy));
}
// Test for duplicate points in a vector of points.
// Only successive points are checked for equality.
inline bool has_duplicate_successive_points(const std::vector<Point> &pts)
{
for (size_t i = 1; i < pts.size(); ++ i)
if (pts[i - 1] == pts[i])
return true;
return false;
}
// Test for duplicate points in a vector of points.
// Only successive points are checked for equality. Additionally, first and last points are compared for equality.
inline bool has_duplicate_successive_points_closed(const std::vector<Point> &pts)
{
return has_duplicate_successive_points(pts) || (pts.size() >= 2 && pts.front() == pts.back());
}
// Collect adjecent(duplicit points)
Points collect_duplicates(Points pts /* Copy */);
inline bool shorter_then(const Point& p0, const coord_t len)
{
if (p0.x() > len || p0.x() < -len)
return false;
if (p0.y() > len || p0.y() < -len)
return false;
return p0.cast<int64_t>().squaredNorm() <= Slic3r::sqr(int64_t(len));
}
namespace int128 {
// Exact orientation predicate,
// returns +1: CCW, 0: collinear, -1: CW.
int orient(const Vec2crd &p1, const Vec2crd &p2, const Vec2crd &p3);
// Exact orientation predicate,
// returns +1: CCW, 0: collinear, -1: CW.
int cross(const Vec2crd &v1, const Vec2crd &v2);
}
// To be used by std::unordered_map, std::unordered_multimap and friends.
struct PointHash {
size_t operator()(const Vec2crd &pt) const noexcept {
return coord_t((89 * 31 + int64_t(pt.x())) * 31 + pt.y());
}
};
// A generic class to search for a closest Point in a given radius.
// It uses std::unordered_multimap to implement an efficient 2D spatial hashing.
// The PointAccessor has to return const Point*.
// If a nullptr is returned, it is ignored by the query.
template<typename ValueType, typename PointAccessor> class ClosestPointInRadiusLookup
{
public:
ClosestPointInRadiusLookup(coord_t search_radius, PointAccessor point_accessor = PointAccessor()) :
m_search_radius(search_radius), m_point_accessor(point_accessor), m_grid_log2(0)
{
// Resolution of a grid, twice the search radius + some epsilon.
coord_t gridres = 2 * m_search_radius + 4;
m_grid_resolution = gridres;
assert(m_grid_resolution > 0);
assert(m_grid_resolution < (coord_t(1) << 30));
// Compute m_grid_log2 = log2(m_grid_resolution)
if (m_grid_resolution > 32767) {
m_grid_resolution >>= 16;
m_grid_log2 += 16;
}
if (m_grid_resolution > 127) {
m_grid_resolution >>= 8;
m_grid_log2 += 8;
}
if (m_grid_resolution > 7) {
m_grid_resolution >>= 4;
m_grid_log2 += 4;
}
if (m_grid_resolution > 1) {
m_grid_resolution >>= 2;
m_grid_log2 += 2;
}
if (m_grid_resolution > 0)
++ m_grid_log2;
m_grid_resolution = 1 << m_grid_log2;
assert(m_grid_resolution >= gridres);
assert(gridres > m_grid_resolution / 2);
}
void insert(const ValueType &value) {
const Vec2crd *pt = m_point_accessor(value);
if (pt != nullptr)
m_map.emplace(std::make_pair(Vec2crd(pt->x()>>m_grid_log2, pt->y()>>m_grid_log2), value));
}
void insert(ValueType &&value) {
const Vec2crd *pt = m_point_accessor(value);
if (pt != nullptr)
m_map.emplace(std::make_pair(Vec2crd(pt->x()>>m_grid_log2, pt->y()>>m_grid_log2), std::move(value)));
}
// Erase a data point equal to value. (ValueType has to declare the operator==).
// Returns true if the data point equal to value was found and removed.
bool erase(const ValueType &value) {
const Point *pt = m_point_accessor(value);
if (pt != nullptr) {
// Range of fragment starts around grid_corner, close to pt.
auto range = m_map.equal_range(Point((*pt).x()>>m_grid_log2, (*pt).y()>>m_grid_log2));
// Remove the first item.
for (auto it = range.first; it != range.second; ++ it) {
if (it->second == value) {
m_map.erase(it);
return true;
}
}
}
return false;
}
// Return a pair of <ValueType*, distance_squared>
std::pair<const ValueType*, double> find(const Vec2crd &pt) {
// Iterate over 4 closest grid cells around pt,
// find the closest start point inside these cells to pt.
const ValueType *value_min = nullptr;
double dist_min = std::numeric_limits<double>::max();
// Round pt to a closest grid_cell corner.
Vec2crd grid_corner((pt.x()+(m_grid_resolution>>1))>>m_grid_log2, (pt.y()+(m_grid_resolution>>1))>>m_grid_log2);
// For four neighbors of grid_corner:
for (coord_t neighbor_y = -1; neighbor_y < 1; ++ neighbor_y) {
for (coord_t neighbor_x = -1; neighbor_x < 1; ++ neighbor_x) {
// Range of fragment starts around grid_corner, close to pt.
auto range = m_map.equal_range(Vec2crd(grid_corner.x() + neighbor_x, grid_corner.y() + neighbor_y));
// Find the map entry closest to pt.
for (auto it = range.first; it != range.second; ++it) {
const ValueType &value = it->second;
const Vec2crd *pt2 = m_point_accessor(value);
if (pt2 != nullptr) {
const double d2 = (pt - *pt2).cast<double>().squaredNorm();
if (d2 < dist_min) {
dist_min = d2;
value_min = &value;
}
}
}
}
}
return (value_min != nullptr && dist_min < coordf_t(m_search_radius) * coordf_t(m_search_radius)) ?
std::make_pair(value_min, dist_min) :
std::make_pair(nullptr, std::numeric_limits<double>::max());
}
// Returns all pairs of values and squared distances.
std::vector<std::pair<const ValueType*, double>> find_all(const Vec2crd &pt) {
// Iterate over 4 closest grid cells around pt,
// Round pt to a closest grid_cell corner.
Vec2crd grid_corner((pt.x()+(m_grid_resolution>>1))>>m_grid_log2, (pt.y()+(m_grid_resolution>>1))>>m_grid_log2);
// For four neighbors of grid_corner:
std::vector<std::pair<const ValueType*, double>> out;
const double r2 = double(m_search_radius) * m_search_radius;
for (coord_t neighbor_y = -1; neighbor_y < 1; ++ neighbor_y) {
for (coord_t neighbor_x = -1; neighbor_x < 1; ++ neighbor_x) {
// Range of fragment starts around grid_corner, close to pt.
auto range = m_map.equal_range(Vec2crd(grid_corner.x() + neighbor_x, grid_corner.y() + neighbor_y));
// Find the map entry closest to pt.
for (auto it = range.first; it != range.second; ++it) {
const ValueType &value = it->second;
const Vec2crd *pt2 = m_point_accessor(value);
if (pt2 != nullptr) {
const double d2 = (pt - *pt2).cast<double>().squaredNorm();
if (d2 <= r2)
out.emplace_back(&value, d2);
}
}
}
}
return out;
}
private:
using map_type = typename std::unordered_multimap<Vec2crd, ValueType, PointHash>;
PointAccessor m_point_accessor;
map_type m_map;
coord_t m_search_radius;
coord_t m_grid_resolution;
coord_t m_grid_log2;
};
std::ostream& operator<<(std::ostream &stm, const Vec2d &pointf);
// /////////////////////////////////////////////////////////////////////////////
// Type safe conversions to and from scaled and unscaled coordinates
// /////////////////////////////////////////////////////////////////////////////
// Semantics are the following:
// Upscaling (scaled()): only from floating point types (or Vec) to either
// floating point or integer 'scaled coord' coordinates.
// Downscaling (unscaled()): from arithmetic (or Vec) to floating point only
// Conversion definition from unscaled to floating point scaled
template<class Tout,
class Tin,
class = FloatingOnly<Tin>>
inline constexpr FloatingOnly<Tout> scaled(const Tin &v) noexcept
{
return Tout(v / Tin(SCALING_FACTOR));
}
// Conversion definition from unscaled to integer 'scaled coord'.
// TODO: is the rounding necessary? Here it is commented out to show that
// it can be different for integers but it does not have to be. Using
// std::round means loosing noexcept and constexpr modifiers
template<class Tout = coord_t, class Tin, class = FloatingOnly<Tin>>
inline constexpr ScaledCoordOnly<Tout> scaled(const Tin &v) noexcept
{
//return static_cast<Tout>(std::round(v / SCALING_FACTOR));
return Tout(v / Tin(SCALING_FACTOR));
}
// Conversion for Eigen vectors (N dimensional points)
template<class Tout = coord_t,
class Tin,
int N,
class = FloatingOnly<Tin>,
int...EigenArgs>
inline Eigen::Matrix<ArithmeticOnly<Tout>, N, EigenArgs...>
scaled(const Eigen::Matrix<Tin, N, EigenArgs...> &v)
{
return (v / SCALING_FACTOR).template cast<Tout>();
}
// Conversion from arithmetic scaled type to floating point unscaled
template<class Tout = double,
class Tin,
class = ArithmeticOnly<Tin>,
class = FloatingOnly<Tout>>
inline constexpr Tout unscaled(const Tin &v) noexcept
{
return Tout(v) * Tout(SCALING_FACTOR);
}
// Unscaling for Eigen vectors. Input base type can be arithmetic, output base
// type can only be floating point.
template<class Tout = double,
class Tin,
int N,
class = ArithmeticOnly<Tin>,
class = FloatingOnly<Tout>,
int...EigenArgs>
inline constexpr Eigen::Matrix<Tout, N, EigenArgs...>
unscaled(const Eigen::Matrix<Tin, N, EigenArgs...> &v) noexcept
{
return v.template cast<Tout>() * Tout(SCALING_FACTOR);
}
// Align a coordinate to a grid. The coordinate may be negative,
// the aligned value will never be bigger than the original one.
inline coord_t align_to_grid(const coord_t coord, const coord_t spacing) {
// Current C++ standard defines the result of integer division to be rounded to zero,
// for both positive and negative numbers. Here we want to round down for negative
// numbers as well.
coord_t aligned = (coord < 0) ?
((coord - spacing + 1) / spacing) * spacing :
(coord / spacing) * spacing;
assert(aligned <= coord);
return aligned;
}
inline Point align_to_grid(Point coord, Point spacing)
{ return Point(align_to_grid(coord.x(), spacing.x()), align_to_grid(coord.y(), spacing.y())); }
inline coord_t align_to_grid(coord_t coord, coord_t spacing, coord_t base)
{ return base + align_to_grid(coord - base, spacing); }
inline Point align_to_grid(Point coord, Point spacing, Point base)
{ return Point(align_to_grid(coord.x(), spacing.x(), base.x()), align_to_grid(coord.y(), spacing.y(), base.y())); }
} // namespace Slic3r
// start Boost
#include <boost/version.hpp>
#include <boost/polygon/polygon.hpp>
namespace boost { namespace polygon {
template <>
struct geometry_concept<Slic3r::Point> { using type = point_concept; };
template <>
struct point_traits<Slic3r::Point> {
using coordinate_type = coord_t;
static inline coordinate_type get(const Slic3r::Point& point, orientation_2d orient) {
return static_cast<coordinate_type>(point((orient == HORIZONTAL) ? 0 : 1));
}
};
template <>
struct point_mutable_traits<Slic3r::Point> {
using coordinate_type = coord_t;
static inline void set(Slic3r::Point& point, orientation_2d orient, coord_t value) {
point((orient == HORIZONTAL) ? 0 : 1) = value;
}
static inline Slic3r::Point construct(coord_t x_value, coord_t y_value) {
return Slic3r::Point(x_value, y_value);
}
};
} }
// end Boost
#include <cereal/cereal.hpp>
// Serialization through the Cereal library
namespace cereal {
// template<class Archive> void serialize(Archive& archive, Slic3r::Vec2crd &v) { archive(v.x(), v.y()); }
// template<class Archive> void serialize(Archive& archive, Slic3r::Vec3crd &v) { archive(v.x(), v.y(), v.z()); }
template<class Archive> void serialize(Archive& archive, Slic3r::Vec2i &v) { archive(v.x(), v.y()); }
template<class Archive> void serialize(Archive& archive, Slic3r::Vec3i &v) { archive(v.x(), v.y(), v.z()); }
// template<class Archive> void serialize(Archive& archive, Slic3r::Vec2i64 &v) { archive(v.x(), v.y()); }
// template<class Archive> void serialize(Archive& archive, Slic3r::Vec3i64 &v) { archive(v.x(), v.y(), v.z()); }
template<class Archive> void serialize(Archive& archive, Slic3r::Vec2f &v) { archive(v.x(), v.y()); }
template<class Archive> void serialize(Archive& archive, Slic3r::Vec3f &v) { archive(v.x(), v.y(), v.z()); }
template<class Archive> void serialize(Archive& archive, Slic3r::Vec2d &v) { archive(v.x(), v.y()); }
template<class Archive> void serialize(Archive& archive, Slic3r::Vec3d &v) { archive(v.x(), v.y(), v.z()); }
template<class Archive> void serialize(Archive& archive, Slic3r::Matrix4d &m){ archive(binary_data(m.data(), 4*4*sizeof(double))); }
template<class Archive> void serialize(Archive& archive, Slic3r::Matrix2f &m){ archive(binary_data(m.data(), 2*2*sizeof(float))); }
// Eigen Transformation serialization
template<class Archive, class T, int N> inline void serialize(Archive& archive, Eigen::Transform<T, N, Eigen::Affine, Eigen::DontAlign>& t){ archive(t.matrix()); }
}
// To be able to use Vec<> and Mat<> in range based for loops:
namespace Eigen {
template<class T, int N, int M>
T* begin(Slic3r::Mat<N, M, T> &mat) { return mat.data(); }
template<class T, int N, int M>
T* end(Slic3r::Mat<N, M, T> &mat) { return mat.data() + N * M; }
template<class T, int N, int M>
const T* begin(const Slic3r::Mat<N, M, T> &mat) { return mat.data(); }
template<class T, int N, int M>
const T* end(const Slic3r::Mat<N, M, T> &mat) { return mat.data() + N * M; }
} // namespace Eigen
#endif